Snowflake Summit 2025 Session Schedule

This course covers the foundational concepts, design considerations and Snowflake best practices intended for stakeholders who will be working on the Snowflake AI Data Cloud. This course is a prerequisite for the role-based courses: Administering Snowflake, Snowflake Data Engineering or Snowflake Data Science. You'll need to purchase the training package in your attendee portal by clicking on "Manage Your Add-Ons" or "Get Certified At Summit".

Explore the latest Snowflake features released over the past 12 months in this fast-paced workshop, tailored for experienced users. Immerse yourself in Snowflake’s newest features and broaden your working knowledge of Snowflake and how it fits in your use cases and solutions.  You'll need to purchase the training package in your attendee portal by clicking on "Manage Your Add-Ons" or "Get Certified At Summit".

 

Kick off your Summit experience by joining data experts, Snowflake partners and Data Cloud evangelists for a hands-on hackathon on June 2. Work with an international team of Summit attendees to build tools and data visualizations to deliver data-driven insights for humanitarian emergencies. Learn from researchers and experts from NGOs like Direct Relief about the importance of geospatial data in humanitarian response.

Snowflake's End Data Disparity initiative accelerates progress toward the UN Sustainable Development Goals by ensuring data sets, decision-making tools and AI models represent everyone. Participants will explore geospatial analytics for humanitarian efforts, perform data transformation in Snowflake and create interactive visuals with Streamlit. The Data for Good team will share insights and tools in future workshops, fostering collaborations that benefit communities and the planet.

Space is limited and preregistration is required. If you are interested in Hackathon, please log in to your Attendee Portal and answer the Hackathon interest survey.

As organizations continue to expand their AI initiatives, one critical challenge remains: proving the business value of AI investments. While theoretical discussions on "what data is worth" have persisted for years, today’s executives must answer a more pressing question: How do we track, quantify, and communicate the impact of AI on revenue, efficiency, and business outcomes? In this session, we bring together leading executives from data-driven enterprises to share their real-world experiences, discussing the frameworks, KPIs, and hard-won lessons that enable organizations to justify AI investments and secure long-term executive buy-in.

Join fellow attendees at the U.S.–Central meetup. Meet your peers, get to know local community leaders and share your Snowflake expertise. Don't miss out on this chance to build new connections!

Today's data teams are evolving beyond pipeline builders to become strategic business enablers. This fundamental shift requires embracing principles that transformed software engineering — agile methodologies, CI/CD practices and infrastructure-as-code — and are now making their way into data workflows as DataOps.

This session explores essential strategies for building resilient, high-impact data operations. We'll dive into team structures that foster collaboration, testing frameworks that ensure reliability, automation approaches that eliminate toil, and modern orchestration tools that scale with growing demands.

Join us as we explore how evolv Consulting is driving a shift in automation with AI systems that replace routine human tasks, leading to notable productivity improvements. We’ll review real-world evolv success stories — such as our machine learning model factory, decision engine automation and domain-specific chatbots — to demonstrate how these solutions are enhancing operations and reshaping work processes. Discover the strategies that empower organizations to leverage AI effectively, achieving more with less human intervention and setting a new standard for efficiency in today’s competitive landscape.

To meet stricter compliance and reporting requirements, banks must prioritize customer risk data and customer experience, maintaining trusted data management across diverse sources. When Nordea was faced with a complex data ecosystem with legacy systems, temporary solutions and governance issues, it successfully established a modern data foundation for AI. This transformation enhanced compliance, security, privacy, data discovery and collaboration, empowering stakeholders to safeguard and leverage the value of sensitive data, applications and models.

Customer data is an organization's most valuable asset. It’s also the hardest to govern and use in a dynamic business environment. Consumers can revoke their consent in an instant, regulations continue to grow, and internal data policies change.

How does an organization manage this data and policy fragmentation while enabling teams to use data appropriately for the business?

Join leaders from BT Group and OneTrust as they explore modern data governance practices and new technologies for data policy enforcement. Learn how Snowflake's native data controls orchestrated by OneTrust’s new data and AI governance products accelerate value-creation from customer data.

This session introduces Cortex AI Chat, a real-time solution for querying Azul Brazilian Airlines' operational metrics. Azul, one of Brazil’s leading airlines, employs over 16,000 staff, operates 1,000+ daily flights, and connects 150+ destinations with 300+ direct routes, ensuring unmatched national and international reach. Cortex, powered by a semantic model, allows users to interact via a Streamlit UI, delivering instant insights as tables or visualizations. Deployed with CI/CD pipelines and improved through feedback, it reduces static dashboards, refines KPIs dynamically, and accelerates time to market for key metrics, streamlining insight-driven decisions.

Discover how Snowflake Cortex AI automates complex list generation and other tasks by converting plain text prompts into automated SQL workflows using SNOWFLAKE.CORTEX.COMPLETE and Snowflake Procedures. Learn how this innovation streamlines processes for end users, enabling rapid, accurate data queries without SQL knowledge.

This session highlights practical applications, technical strategies and real-world impact, emphasizing time savings, user empowerment and scalable automation for diverse use cases.

As a leading enterprise health technology company, Capital Rx leverages Snowflake to deliver high-quality healthcare data insights at scale. Data demands soared as our company scaled and Judi®’s feature set expanded, so we partnered with Capital One Slingshot to optimize resources, reduce compute costs and unify warehouse management.

Join us to see how we consolidated our warehouses, significantly cut expenses and maintained performance — enabling better patient outcomes through advanced analytics.

Join us for an exclusive Ask Me Anything (AMA) session with Snowflake’s top product leaders, where no topic is off-limits. This interactive conversation offers a rare opportunity to engage directly with the minds shaping Snowflake’s strategy and innovation in Data Engineering. Whether you're looking for insights into product vision, best practices, or upcoming capabilities, this is your chance to go straight to the source.

This session explores how agentic AI automation is transforming the way organizations extract value from their data assets. Join us as we demonstrate real-world examples of how AI agents can be used in process automation to autonomously discover patterns, automate decision workflows, and drive business outcomes. We’ll showcase how leading organizations are deploying these solutions to reduce time-to-value by up to 80% while enabling nontechnical business users to leverage complex data.

In response to the growing demand for integrating new data into our data platform, the Data Engineering Team at Okta has developed a solution utilizing Snowpark for Python to automate construction of data pipelines. Discover how Okta's Zero Touch Platform creates end-to-end pipelines that ingest events arriving on S3 and transforms data in Snowflake using Streams and Tasks. The platform features integrated capabilities to detect schema changes in data streams, facilitating automatic evolution of Snowflake table schemas. Crafted with privacy in mind, it also allows for data classification through tags and systemically masking data using tag-based masking policies.

Business users need better data access, but outdated, siloed systems at EOE rely on file shares, database extracts, Access and analysis tools. Remote work during the pandemic further exposed the limitations of client tools run over VPN. The EOE cloud team is modernizing workflows with Snowflake, leveraging worksheets and Notebooks. Snowflake enables real-time data interaction, reducing reliance on outdated methods and bringing users closer to data for improved efficiency and decision-making.

Do you lead or administer a team that does data science or machine learning? Come learn why Snowflake Notebooks is the premier surface for exploration, visualization and machine learning in Snowsight interface, and how you as an admin play a simple but powerful role in getting your team off to the races. 

Hear expert data leaders from top financial services firms share insights on navigating the opportunities and challenges of becoming AI-ready with data + AI observability. They'll discuss how they modernize data strategies, tackle governance and compliance, and leverage Snowflake’s capabilities to unlock AI-driven insights. Gain practical approaches to data democratization, risk management and accelerating AI adoption in the highly regulated world of financial services.

Imagine a major hurricane leaving 600,000 homes in darkness. Every second counts. We'll take you behind the scenes of a real-world disaster recovery, where Tampa Electric used Snowflake Cortex AI to orchestrate a rapid and effective storm response. We'll share the challenge, the solution architecture, and the exact steps taken — from LLMs for text extraction at scale to building a chat-based interface for decision-makers.

Network security is the first line of defense in Snowflake's defense-in-depth security paradigm. This session will cover integrating Snowflake with your environments (such as Iceberg tables and other resources), using private connectivity, and designing network policies that balance security, scalability and manageability. It will unveil the latest network security innovations, real-world architectures, best practices and hands-on guidance to help participants build a robust security posture.

Join this session to build a Snowflake Native App that delivers personalized, real-time movie recommendations from semi-structured data using Snowflake Cortex functions. You will set up a retrieval-augmented generation (RAG) system within Snowflake, then build and deploy the app, making it available for publication and monetization on the Snowflake Marketplace.

Want to try the latest Snowflake features, but don’t have the time to do it? Find out how to accelerate dev cycles by 10x and create anything in Snowflake in a few clicks using Coalesce’s data transformation platform and your favorite features like Snowflake Cortex and more.

Please bring your laptop and create a Snowflake trial account before the event if you don't have a Snowflake account already.

Want to migrate to Snowflake in less than 90 minutes? Come to this hands-on lab. We will work through Snowflake's migration strategy and automation tools — such as SnowConvert and Snowpark Migration Accelerator — to assess, move and validate an entire pipeline with data into Snowflake. Our data will be in another data warehouse, in a data lake and even on premises. Can we move it into Snowflake? Our pipelines are written in Jupyter notebooks utilizing Spark. Can those fully exist in Snowflake? Can all of it happen in Snowflake? Let's find out. 

Step away from the booth and into the conversation at DevDive — a hands-on and open-dialogue design thinking session created for attendees who want to shape the future of building on Snowflake. Whether you're exploring your first quickstart or deploying production pipelines, we want to understand your goals, challenges and learning journey. This interactive experience invites you to share feedback, from onboarding and learning resources to the tools and assets that support your work. No slides, no panels — just real talk, real challenges and real collaboration. On Dev Day (6/5), you will also have the opportunity to join small-group discussions tailored to your specific AI use cases! Let’s build better, together.

In today's AI era, companies must build new data capabilities, and AI can accelerate this progress. This talk presents 42 opportunities for using multi-agent AI systems to enhance data modernization. These include speeding up migrations from legacy systems, augmenting BI reports with conversational AI, and preparing data for AI applications. Whether moving to platforms like Snowflake or using Cortex AI to handle enterprise data, we'll show how AI is used to capture, process and publish structured and unstructured data securely, setting the stage for AI readiness.

Discover how your wider Enterprise Data Stack impacts your Snowflake data quality and readiness. Proactively address issues using data observability powered by agentic data management to enforce operational governance, while enabling collaboration between technical and business teams — all while managing costs and improving operating efficiencies to deliver trusted, AI-ready data with confidence.

AI can only deliver real impact when built on accurate, trusted data. Without strong data quality and governance, AI models underperform, insights fall short and opportunities are lost. Join Jessie Smith, VP of Data Quality at Ataccama, as they share how enterprises are using Ataccama Data Quality and its pushdown processing to fuel trustworthy AI initiatives — from automating data cleansing at scale to continuously monitoring data pipelines for quality drift. With Ataccama and Snowflake, organizations can scale AI confidently, ensuring reliable insights, better decisions and real business value.

Explore visual AI's impact on product inspection in consumer goods. Using a sports equipment case study, we'll examine:

• Production line quality control: Improving efficiency, quality and safety while reducing costs.
• Consumer applications: Enhancing user experience and product maintenance.

We'll discuss challenges, opportunities and best practices in visual AI deployment across consumer goods sectors. Discover how these innovations set new standards in product quality and customer engagement.

Join this session to learn best practices and tips from an avid Streamlit app developer since 2019. Let's take a journey through all the mistakes I've made building dozens of productions dashboards used by thousands of people hundreds of thousands of times over the years, using everything from dynamic tables to Snowflake Cortex, with a ton of live coding in between.

The next era of data transformation is here. AI is supercharging developer workflows, downstream teams can collaborate thanks to governed self-service, and SQL comprehension is generating detailed metadata that powers unprecedented developer efficiency while promoting data quality and cost optimization. See it come together firsthand with dbt’s data control plane, a centralized platform that gives organizations repeatable, scalable and governed ways to win with data in the modern age.

Using Snowflake Cortex AI, we have developed use cases to identify potential risks early and ensure appropriate mitigation strategies before implementation and during post-incident RCA. This helps determine whether preventive measures failed or external factors caused the issue, creating a closed-loop process for managing change risks. This dual approach improves operational resilience by proactively managing risks while driving continuous improvement through incident-driven insights.

Iceberg tables are becoming an integral component of an Organization's lakehouse strategy. In this session, we will look at all the different ways to onboard Iceberg tables and share Iceberg data with both internal and external stakeholders.

Cboe Global Markets is a world-leading derivatives and securities exchange network, and it depends on Snowflake to centralize, harness and monetize over 3PB of data that grows by 10TB every trading day. Join this session to learn all about Cboe’s four-year, silo-busting Snowflake journey across business intelligence, big-data analytics, data engineering and streaming, generative AI, data monetization and more.

Cisco’s data team supports multiple lines of business, each needing fast, secure access to enterprise data. With Fivetran, they move data from systems like Salesforce, Qualtrics and S3 into Snowflake. Join us to hear how Cisco powers real-time data access across the organization. Learn how Cisco is breaking down data silos, accelerating time-to-insight, and enabling a data-driven culture across the business.

Learn how dynamically composable Snowflake Native Apps accelerate innovation and streamline operations. In this session, we’ll explore how a modular, microservices-style architecture — powered by gen AI — enables effortless deployment of key marketing capabilities, such as identity resolution and audience activation.

Discover how an adaptable, low-overhead approach helps businesses scale faster to meet evolving needs. Plus, see a real-world example demonstrating how this framework drives rapid innovation and improves marketing outcomes.

Explore how Snowflake and Microsoft collaborate to transform data and AI workflows. Learn to operate on a single data copy between Microsoft Fabric OneLake and Snowflake via Apache Iceberg, eliminating duplication. Discover real-time RAG AI agents that integrate Snowflake's trusted data and enterprise systems for instant Microsoft Copilot responses, without copying data. Unlock real-time actions using PowerApps with live query and writeback to Snowflake, all with no code. Simplify and innovate with these powerful tools. 

This session will explore strategies for migrating large volumes of legacy data to Snowflake as part of a comprehensive migration project using the prebuilt Data Migration and Validation Accelerator (DMVA) tool by Snowflake Professional Services. We will dive into the tool’s capabilities, the validation techniques employed to ensure accurate data migration and real-world customer examples showcasing its use in migrating massive data quantities.

Afterpay’s success relies on Snowflake’s strong data foundation. However, Afterpay’s marketers weren’t empowered to use this wealth of data without data team support. This meant delayed, less tailored customer experiences.

Afterpay flipped the script by adopting a composable customer data platform on Snowflake. In this session, learn how Afterpay built marketing data proficiency and trust, powered every channel with fresh data and even automated testing and one-to-one personalization with AI decision-making.

 

Okta and Komodo Health operate in vastly different industries — identity and access management vs. healthcare intelligence — but both rely on Snowflake to deliver secure, high-performance and cost-efficient data at scale.

In this session, leaders from both organizations share how they use AI-powered automation to optimize workloads, reduce spend and improve governance. Whether you’re managing real-time access or sensitive health data, you’ll gain practical strategies to boost performance, cut costs and improve data accessibility — without compromising security.

Join an exclusive, guided tour of the Snowflake AI Data Cloud and its premier partner ecosystem, tailored for leaders in Healthcare & Life Sciences. This immersive experience will take you through five curated stops that showcase the art of the possible—real-world solutions, cutting-edge AI use cases, and data-driven innovations transforming your industry today. Gain direct access to experts, see industry-leading technology in action, and leave with actionable inspiration to accelerate your data strategy. Space is extremely limited—registration is first come, first served. Please note that this experience includes walking between stops; comfortable footwear is recommended. Please note that the Executive Booth Tours are reserved for customers only—we kindly ask our partners not to register.

BP, a global energy company advancing sustainability and digital transformation, transitioned from Azure SQL Server PaaS to Snowflake on AWS for enterprise reporting, adopting a curated data products model. 

To improve data discovery, BP developed DataXplore, a Streamlit solution that leverages Snowflake’s object sourcing to create a clear lineage graph. With an AI chatbot, it references metadata to show object dependencies, helping users track raw data sources. Join this session to learn how BP leveraged Streamlit and Snowflake to improve data discovery, lineage tracking and user accessibility.

Self-service analytics is now as intuitive as a conversation with your data. With Snowflake Cortex AI, users across industries can extract insights effortlessly using generative AI — no advanced expertise required. Learn how Northeast Georgia Health System boosts efficiency with AI-driven insights, and see how Cortex AI powers real-world applications, automates workflows and enhances decision-making. Join us to explore the future of automated analytics.

This session explores how Swire Coca-Cola USA is building a federated data platform across the Coca-Cola bottling network to make it easy for business users to find the information they need. Learn how salespeople, analysts and data scientists can access information about any data artifact — such as its definition, how it is calculated and where the information comes from — to improve decision making, support AI initiatives and accelerate innovation. Hear best practices on how to support data discovery by building data governance and literacy programs at scale.

In data analytics, seamless integration is vital. This presentation explores how Progressive leveraged Snowflake to elevate its data capabilities. We integrated streaming data from a vendor app into Snowflake using Snowpipe for real-time processing. Using an event-driven, metadata-based approach in Snowpark Python, we ensured efficiency and flexibility, avoiding script overload. Discover our strategy, challenges and solutions, and learn how this project boosts data-driven decisions. Ideal for data engineers, architects and analysts.

The RAG policy assistant enables the Employee Service Group to provide objective, transparent, timely, consistent and reproduceable guidance based on Ohio policies and regulations. The solution leverages Snowflake Vector data types, Snowflake Cortex AI, Cortex Guard, and Streamlit as part of a scalable generative AI framework. It incorporates automated user feedback, LLM-as-a-Judge, Human-in-the-Loop validation, LLM configuration testing, and infrastructure optimization dashboards.

AI is transforming contract analysis, making it faster, more accurate and efficient. SoFi leveraged Snowflake’s AI Data Cloud to automate contract ingestion, search and review. Snowflake’s data ingestion uploads supplier agreements, and Document AI preprocesses them for text extraction. Contract language is embedded using Snowflake Cortex AI for efficient search and retrieval. An LLM analyzes results to pinpoint relevant contracts and extract precise term locations. Expert review ensures accuracy, with a human-in-the-loop validation process. The session highlights efficiency, accuracy and best practices for AI-driven contract analysis, enabling smarter, data-driven decision-making.

In today’s competitive hospitality landscape, real-time data and AI-driven insights are essential for delivering exceptional guest experiences and optimizing operations. This session explores how Hyatt Hotels can harness ThoughtSpot’s intuitive analytics and AI-powered tools to uncover actionable insights, enhance personalization and drive revenue growth. Attendees will learn how to empower teams with self-service analytics, streamline decision-making, and see how to use AI to predict trends, maximize occupancy and refine marketing strategies. Join us to discover how ThoughtSpot can revolutionize Hyatt’s approach to data-driven hospitality.

Michel Tricot, Airbyte CEO, will lead an interactive discussion with Raman Singh, Tech Lead at Symend, on their application of Airbyte and Snowflake to solve key data infrastructure challenges. Symend is the leader in intelligent collections, designed to help enterprises maximize delinquency management. Raman will discuss Symend’s business and data architecture, sharing insights on how better infrastructure powers business initiatives, including AI applications. Michel and Raman will then engage in a deep discussion on data architecture and movement. This will be an informative conversation featuring a Q&A session that allows the audience to learn more about building data movement solutions.

Join us for an insightful session to learn more about how DTCC is building and applying virtual data architects across their enterprise. We will share how a collaborative engagement among DTCC, Slalom and Snowflake led to a self-service approach that allows DTCC's ITA team to improve the accuracy, consistency and timeliness of its guidance at scale using gen AI. We will also demonstrate how a virtual data architect built on Snowflake using Streamlit and Cortex AI addresses common challenges facing architecture and delivery teams today.

Are you looking for a way to build Iceberg tables for Snowflake? In this session, we will present a simple, battle-tested way to create your lakehouse architecture. We will dig into the toughest challenges of using Iceberg for low latency at scale and we will demo solutions to achieve minute-level freshness for ingestion, and how to run SQL, Spark and dbt pipelines to prepare your data for Snowflake.

Data teams face challenges when managing both transactional and analytical workloads. In this session, we'll explore how companies like yours can better unify both transactional and analytical data on Snowflake with Unistore, allowing you to better manage workflow and application state, do data serving, and build lightweight transactional apps.  Hear how Project Lead The Way are leveraging Unistore to better unify transactional and analytical data.

It's no secret that Snowflake really excels at performing distributed workloads, but what do you do when you're hit with resource constraints of a single node (we're looking at you XGBoost)? Scale up of course! Learn how Snowflake helped VideoAmp’s media measurement platform overcome previous scalability constraints by introducing more powerful compute options that redefine the limits of media measurement and optimization.

Join fellow attendees at the U.S./Canada–East networking meetup. Stop by to meet local community leaders, share insights and build lasting connections!

Come learn the best practices around monitoring (alerts); backup/restore (cloning, replications, practicing failover scenarios, using finalize constraints); scheduler configurations (intuition around target lag, scheduling tick overview, target lag vs scheduling refresh); debugging best practices (walk through some debugging workflows); running thousands of DTs and much more!

For years, even the most powerful BI tools struggled against an unexpected competitor — Excel spreadsheets. At Intercontinental Exchange (ICE) and the New York Stock Exchange (NYSE), analysts needed a scalable, high-performance solution to process and analyze 700 billion daily transactions, detect market manipulation, and streamline regulatory reporting. Discover how Intercontinental Exchange replaced spreadsheets with Sigma’s real-time, interactive dashboards, transforming how regulators and analysts moved with both speed and scale. 

Apache Polaris (incubating) is designed with extensibility in mind. We'll deep dive into the architecture of Polaris with a specific focus on customizing a Polaris deployment for your own specific needs. We’ll start with a high-level overview of the Polaris service runtime, including the server runtime and dependency injection framework. Then we’ll dive into the extension points and default implementations that deal with multitenancy; authentication, including auth federation, authorization grants and application; and metadata persistence. By the end of this talk, you should have a good understanding of how Polaris works and how to customize your deployment for your needs.

Data Clean Rooms are the premier solution to providing secure, privacy-compliant measurement. Kroger Precision Marketing (KPM) delves into the foundational principles that enabled identity transcoding and our best-in-class measurement, in collaboration with our partners. We will discuss how KPM used DCRs for attribution measurement and incrementality testing, and how we resolved challenges in data integration. Come discover how DCRs unlock measurement capabilities while protecting consumer privacy.

Left Main REI is transforming the real estate industry by providing a purpose-built CRM solution that streamlines operations, enhances efficiency and supports business growth. Learn how they are bringing in multiple first- and third-party data sources while leveraging predictive AI to create a data platform that their real estate professionals can use to grow their business.

The media landscape drowns marketers in data complexity, but AI delivers unprecedented clarity. Join Horizon Media and Akkio to explore how an LLM-native platform utilizing Snowflake can transform raw data into instant campaign intelligence through natural language interaction. See how teams can create precise, data-driven insights in minutes instead of days while maintaining enterprise-grade security.

Experience the next evolution of AI with Amazon Nova, a groundbreaking suite of foundation models that's redefining what's possible. With exceptional multi-modal capabilities across 200+ languages and seamless integration with Amazon Bedrock, Alexa+ and Amazon Q. Nova helps organizations transform customer experiences and streamline operations.

Join us to explore how leading companies are leveraging Nova's unmatched price performance to turn cutting-edge AI into real-world success stories. Learn how Snowflake data users and engineering teams can build generative AI applications using Snowflake and Amazon Nova powered by Amazon Bedrock.

Miles Braddock, VP and Head of Data at Fringe Benefit Group, shares lessons learned, best practices and pitfalls to avoid when deploying data observability at scale. This fireside chat — aimed at data leaders — will be hosted by Kyle Kirwan, Co-Founder and Chief Product Officer at Bigeye, the leading enterprise data observability company.

We’ve seen an explosion in AI tools come to the market over the past few years, but none has had quite as much potential to transform business operations as agentic AI. While the potential is high, many companies are struggling to understand where agents provide value and how to get started. In this session, we’ll provide a practical guide for understanding the value of AI agents, where to start, and how to prepare your data ecosystem and internal teams for success.

 

Banking, strategy and portfolio teams must identify the right opportunities at the right time. Join S&P Global to learn how firms assess granular data on market trends, financial forecasts and industry shifts with Visible Alpha Estimates over Snowflake. Screen on financial and operational metrics, then dive deeper to find the perfect target. Embedding Visible Alpha in your CRM allows users to conduct peer analysis, examine market expectations for future growth and evaluate targets.

Agentic AI is poised to revolutionize how marketing and data teams unite to fuel revenue growth in 2025 and beyond. Join this session to discover how marketers can leverage AI agents applied directly to their first-party data on Snowflake to suggest, build and execute marketing campaigns that compound growth over time.

Learn how GrowthLoop’s Compound Marketing Engine, built natively on the Snowflake AI Data Cloud, leverages agentic AI to automate campaign launches, accelerate experimentation and deliver hyperpersonalized experiences at scale.

RAG-based applications face AI-specific risks like prompt injections, PII leaks and toxic content. This session introduces the LLM Gateway, a framework that enforces guardrails, enhances trust and ensures compliance for safer AI interactions. Learn how the Snowflake data science team uses Snowflake Model Registry for seamless online and batch inference, and how Snowpark Container Services and GPU compute pools enable secure, scalable model deployment. Attendees will walk away with practical insights on registering, deploying and optimizing inference workflows for both real-time and large-scale generative AI applications — without external MLOps complexity.

Join this session to see how VIOOH leverages geospatial analytics to optimize ad placements across 70,000+ digital panels worldwide. Using Snowflake and CARTO, VIOOH enhances media planning with data-driven insights and intuitive visualizations. Discover how their geospatial dashboards refine targeting, automate campaign creation and improve data accessibility, plus how Overture Maps enhances targeting precision and maximizes ROI in digital out-of-home advertising.

Iceberg is transforming data architecture in the telco industry by enabling seamless data management, high-performance querying, and real-time analytics across distributed environments. Its open table format allows telcos to unify batch and streaming data, ensuring scalability, governance, and cost-efficient processing. With schema evolution, time travel & optimized data compaction, it eliminates data silos and enhances AI-driven network optimization, customer experience and more. With Snowflake Iceberg, telcos can leverage connected data ecosystems to drive innovation, improve operational efficiency, and deliver next generation 5G services with unparalleled speed and agility.

Agentic success starts with trustworthy data. In this session, Monte Carlo CEO and Co-Founder Barr Moses will explore how companies can accelerate AI readiness through data + AI observability. Learn why reliable, high-quality data is the foundation for effective AI initiatives — and how first-party data is your greatest competitive boat in the AI race. Barr will share strategies for ensuring data reliability, minimizing risk and scaling AI projects with confidence, drawing on real-world examples from leading data-driven organizations.

Data engineers value documentation, governance and best practices but often struggle to convey their financial impact. Lacking fluency in business language and metrics, they find it challenging to demonstrate the ROI of data modeling and governance. This talk uses real-world examples to highlight how these practices improve data quality and team efficiency while linking them to business metrics that resonate with stakeholders and the finance committee.

In this session, we’ll take a look at how Capital One Software deploys machine learning models to leverage Snowflake for scalable predictive analytics. It will also provide a glimpse into how we’re exploring Snowflake ML to take advantage of the Snowflake Model Registry to increase potential and velocity.

For data teams urged to “do this faster” on a regular basis, join us! The notoriously slow process to access and link credit data isn’t as seamless or speedy as coworkers think — until now. You can access unlimited TransUnion credit data on demand, and a linking app to match it to your first- and third-party data in a pseudonymized manner, all via Snowflake, with TruIQ Data Enrichment. Hear how it works and how teams used it to launch campaigns in half the time and run analyses in two days versus two weeks.  

Frontdoor, a leading provider of home service plans, is transforming how homeowners maintain and repair their homes through AI-driven solutions. Learn how they transitioned data science and analytics developers from decentralized environments to Snowflake Notebooks at scale. 

Join this session to explore key development patterns supporting gen AI, classic ML, GraphRAG and Graph Analytics, enabling efficient model development and deployment. Throughout this transition, Frontdoor prioritized data gravity, consolidating computational workloads within the Snowflake ecosystem to maximize performance and efficiency.

Organizations struggle with data spread across disparate systems, limiting innovation and efficiency. By centralizing data into a single source of truth, businesses unlock the full potential of their data, driving analytics, AI/ML advancements and strategic decision-making. Fivetran’s Connector SDK accelerates this by building custom connectors for unique data sources, ensuring no data is left behind. Join us to explore how data centralization and Connector SDK simplify data integration.

Supporting a payment network reaching over 21 million users and processing $28B in annual payments, Affirm’s data team powers business growth while ensuring sensitive data is secure and compliant. With Snowflake at the core of their modern data stack, Affirm’s team is now extending the value of this data to hundreds of producer and consumer teams.

Join Ankit Singh of Affirm and Sharif Karmally of Atlan to learn their no-compromise approach, supporting both carefully cataloged data for regulatory compliance and auditing and data products that act as a single source of truth and ownership for their assets, resolving questions about data in minutes, rather than days or weeks.

Discover how Snowflake’s cutting-edge technology is transforming analytics applications of a world-leading logistics company from an on-premise solution to a cloud-based, data mesh ecosystem. See how one organization, with the support of Capgemini, is taking charge of the future of data architecture. This session is a must-attend for those interested in the practicalities and strategic planning involved in large-scale data platform modernization. It will cover:

• Client’s data mesh platform
• Large-scale integration database migration
• Project organization and cultural shift
• Technical solutions and architectural patterns
• A reskilling academy

For more than 40 years, Centene has operated government-sponsored healthcare programs that reduce costs and improve medical outcomes. We developed a Streamlit app with Cortex to allow analysts to ask natural language questions of our curated data sets. This capability increases the analyst productivity by allowing knowledge workers to ask questions with Snowflake without needing SQL expertise. The system is powered by Centene’s golden queries and knowledge, providing accurate and reliable insights through Cortex.

Navigating today's complex data landscape demands not only powerful tools but also intelligent, AI-driven solutions that adapt and enhance user engagement. Zelis Healthcare's presentation will showcase an innovative use case that enables its finance team utilizing Cortex AI to revolutionize the way data interacts with analysts across reports and dashboards. Zelis will explore the architecture, discuss the technical challenges and breakthroughs, and demonstrate the significant impact on reducing time to insight and enhance decision-making processes. Join this session to discover how this dynamic, AI driven approach can be scaled to empower users.

Take a deep dive into modernization at Morgan Stanley, enabled by Snowflake, for one of the financial sector's largest distributed file systems — a critical infrastructure managing 500 billion files across 30PB of storage. We tackled the challenge of understanding usage patterns across trillions of file accesses, analyzing 100 million software releases, and identified millions of unused releases. This talk will address the challenges in operational resilience and managing large-scale infrastructure transformation in regulated industries.

Discover how strategic migration from traditional data infrastructure to cutting-edge architectures revolutionized our product development. By embracing cloud-native technologies and DevOps, we turned data limitations into innovation opportunities. Explore how AI-driven data intelligence is shaping the future of capital markets, unlocking predictive insights, automation and new revenue streams. Learn key lessons that accelerated our data product strategy and AI-powered market innovation.

In 2024, Kargo innovated its contextual ad targeting with a scalable solution for 6M+ premium inventory slots. As the industry shifts toward AI-driven contextual targeting, Kargo harnesses Snowflake Cortex’s AI-powered cohorting and embeddings engine to translate simple, natural-language audience descriptions into bespoke segments.

By keeping all data within Snowflake, Kargo streamlined workflows, enhanced targeting precision and reduced reliance on external tools. Today, this built-in contextual solution stands as a key differentiator, delivering measurable lifts in engagement and ROI. Join us to hear how we’re reshaping the future of AI-powered contextual advertising.

Join this session to learn how PayPal optimized customer experience and exceeded SLAs at scale by modernizing its data infrastructure and analytics. Discover how the company consolidated disparate data sources into Snowflake, leveraging Iceberg for future platform flexibility, and centralized back-office analytics and ETL processes for efficiency. See how it delivers near real-time insights and reconciliation to clients, architects applications for global scalability and explores future developments such as ML for business outcome prediction and generative AI for dynamic network adaptation, positioning itself at the forefront of hyperscale fintech.

At Fidelity Investments, we have a refrain: Snowflake spend is not bad, but unoptimized spend is not good. What does this mean when we have deployed multiple Snowflake accounts with petabytes of data, numerous end user applications, tens of thousands of users and billions of queries? It means we needed to answer many questions, such as: What does it mean to be optimized? Who is accountable and/or responsible for optimization? And how do you optimize in a large and changing landscape? Join us to learn best practices for building a culture of optimization.

Meet fellow attendees at the Japan networking meetup, where peers from across Japan gather to forge new connections. Take this opportunity to meet the Japan community leaders, share insights and broaden your professional network!

Do you see the potential of AI Copilots for your organization but struggle to translate that potential into action due to disparate data sources? In this hands-on lab, you’ll learn how to build an intelligent chatbot and talk with your data using Snowflake Cortex Agents and CoPilot Apps to empower your organization to interact with their Snowflake data with natural language. Extend the insights from your Snowflake data for all users with Cortex Agents and Microsoft Copilot.

You’ll develop an intelligent app that can provide insights from both structured and unstructured data in Snowflake using Microsoft Co-Pilot and Cortex Agents. 

Join us to learn more about network and authentication best practices and how to use Trust Center to continuously audit and monitor your organization's security health. This hands-on lab will guide you through the latest best practices to harden your Snowflake accounts against data exfiltration risks. You'll also learn how to use Snowflake authentication enhancements — some which will be mandatory — and how to  improve your migration strategy via customer success stories. 

In this hands-on lab, you’ll build and deploy AI-powered data agents using Snowflake Cortex agents. Learn how to create agents that automate complex, multi-step operations by orchestrating structured and unstructured data retrieval with Cortex Analyst and Cortex Search. Explore best practices for integrating AI into enterprise workflows, managing governance, and improving decision-making with real-time insights. By the end of the session, you’ll have a fully functional agent that can process requests, retrieve relevant data, and generate intelligent responses — all securely within Snowflake.

Join an exclusive, guided tour of the Snowflake AI Data Cloud and its premier partner ecosystem, tailored for leaders in Retail & Consumer Goods. This immersive experience will take you through five curated stops that showcase the art of the possible—real-world solutions, cutting-edge AI use cases, and data-driven innovations transforming your industry today. Gain direct access to experts, see industry-leading technology in action, and leave with actionable inspiration to accelerate your data strategy. Space is extremely limited—registration is first come, first served. Please note that this experience includes walking between stops; comfortable footwear is recommended. Please note that the Executive Booth Tours are reserved for customers only—we kindly ask our partners not to register.

Join a curated group of leaders across financial services, healthcare, life sciences and the public sector for a high-value hour of networking and insight sharing. This is your opportunity to connect with peers facing similar data, compliance and AI transformation challenges in highly regulated industries.

If you're a data leader, you've probably been asked: How do we measure our ROI?

If you're seeking an answer ... it's complicated.

But some are succeeding. With a new approach to team, measurement and tooling, the NBA has evolved their data org from a cost center to a strategic business partner. We'll explore how the NBA and other Hex customers are revolutionizing the data field, evolving their understanding of AI, and taking a practical approach that delivers business value. This session will provide honest, actionable insights including how the NBA identifies future stars, forecasts fan engagement and even uses in-game events to understand viewership and make real-time decisions.

In advertising, measurement is everything. Last year, Paramount set out to measure real-world outcomes for every linear and digital ad campaign through Always-On Attribution, a continuous measurement capability built on Snowflake. By rearchitecting our data warehouse from a complex tech-stack into a single Snowflake-powered hub, we enabled seamless Data Shares with partners like iSpot, EDO, and Mastercard, and powered Snowflake dashboards for swift analysis. Centralized warehousing and robust ETLs via Snowflake unlocked rapid development and scalability. Join us for a conversation all about execution - because in the world of advertising, measurement isn’t just a metric, it’s a mandate.

Struggling with lengthy, costly development cycles or complex, difficult-to-manage tech stacks? Imagine cutting dependencies, automating workflows, and reducing costs by 50%, without adding complexity.  
  
In this hands-on session, we’ll show you how a modern innovation platform can:  

• Eliminate bottlenecks by orchestrating your AI-ready data products  
• Enable data product composability through data pipeline modularization  
• Deliver data and AI use cases faster  

Fifth Third Bank transformed its machine learning operations using a feature store built with Snowflake and dbt Cloud. The result? Improved model governance, reduced risk and faster product innovation.

In this session, learn how the company defined features, automated pipelines and delivered real-time and historical feature views. You’ll walk away with strategies to centralize feature data, boost data science team performance and accelerate business outcomes.

Apache Iceberg is the foundation for an open, interoperable lakehouse, but getting the best performance from all its data is hard. In this session, you’ll learn how adaptive Iceberg optimizations in Qlik Open Lakehouse significantly simplifies the ingestion and management of high-volume, frequently changing real-time data from complex sources. We’ll unbox the adaptive engine to understand key techniques it uses to deliver unmatched query performance for Apache Iceberg tables in Snowflake.

A major shift is happening in the data space and it’s not just AI. Handling the explosive growth of data while managing costs — all without compromising performance — is pushing leaders to revaluate Data ROI. In this session, we explore strategies to minimize total cost of ownership for data integration and to create additional value with data. Learn how to deliver intelligent systems that are better connected with automated data pipelines and how to put this data to use using managed AI agents.

Explore strategies for managing the provisioning and decommissioning of hundreds of Snowflake accounts, ensuring efficient setup and teardown processes across a large-scale environment. Learn best practices for configuring authentication and access controls to maintain account security and compliance. Additionally, learn how Adobe seamlessly integrates with Snowflake accounts owned by their customers, enabling secure data sharing and enhanced collaboration across organizational boundaries.

This session showcases how Snowflake Cortex AI and multi-agent frameworks like Schema Agent enhance Ericsson’s Intelligent Automation Platform (EIAP) for network management. AI-driven rApps — anomaly detectors, KPI analyzers, RCA agents — use LLMs, RAG and Cortex Analyst to automate troubleshooting. This reduces MTTR, enables intent-driven automation, and paves the way for self-optimizing telecom networks.

With 400,000+ investors and growing, and an increasing number of financial products on offer, Fundrise needed a better way to deliver high-quality lifecycle marketing campaigns that are personalized, convert at higher rates and don’t slow the company down as its business gets more complex.

Learn how Lindsay Kaplan, Senior Director of Lifecycle Marketing at Fundrise, replaced 1:many segmentation and calendar-based email sends with AI decisioning agents that autonomously test, optimize and deliver 1:1 personalized messages at scale — driving rapid revenue growth and team efficiency.

Quality input data is crucial for RAG chatbots to deliver accurate and informative responses. Refining input data such as splitting the raw text, adding meta data, and leveraging filters to find relevant references can significantly enhance chatbot performance. By improving the data, chatbots can better understand user queries, retrieve more relevant information, and generate more accurate responses. Prioritizing input data refinement, developers can unlock their RAG chatbot's full potential.

Discover how Flatiron Health and UCHealth transformed their clinical data exchange by switching from a traditional integration to bi-directional Snowflake Private Listings with Terraform code to automate share configuration. This approach reduced onboarding time by over 70% - from months to just weeks, significantly lowering long-term maintenance efforts, improving reliability, and enabling rapid cross-cloud collaboration on insights from data on more than 250k cancer patients.

A reliable, performant, secure and scalable data layer is critical for SaaS applications — but managing and scaling it remains a major challenge.

Snowflake is uniquely architected to address many of the challenges of SaaS applications. In this session, we’ll explore the key challenges of building SaaS applications, uncover opportunities for optimization, and demonstrate how Snowflake enables scalable, efficient and secure architectures.

Analytical apps today must turbocharge digital experiences with embedded insights at every customer touchpoint and accelerate value realization. Hear from PepsiCo on how they have modernized their data and analytics strategy to enable a data-driven culture, drive business agility, optimize operations and delight customers. Learn how they leverage ThoughtSpot’s natural language search and embedded analytics to deliver true self-service analytics and actionable intelligence at every level.

Time-series data is everywhere, from IoT sensors and web logs to financial markets and beyond. With Snowflake's latest innovations, organizations can efficiently process and analyze time-series data to derive insights at low latencies. Hear from data leaders at the NYSE, a large financial firm that operates global financial exchanges and clearinghouses, about how it leverages Snowflake for its time-series use cases such as exchange analytics, order book analysis and VWAP calculations.

Flix is a global travel-tech champion providing sustainable and affordable travel solutions worldwide. In this joint session, we will cover the powerful capabilities of Snowflake’s Internal Marketplace and how Flix leverages it to unlock silos and mobilize their data. We will share insights on their data mesh architecture, representation of their business units in the Internal Marketplace, best practices for curation of data assets, lessons learned, and more!

In this session, a representative from Fortune Brands Innovations Inc. will share their experience accelerating their Snowflake implementation. They will discuss challenges; strategies to improve modeling, version control and governance; and how they streamlined workflows for faster deployment. Joining them, SqlDBM's head of product will provide insights into best practices for modeling and governance. Attendees will gain insights into strategies and lessons from their implementation.

Earnings call Q&A offers insights into executive behavior. When analysts ask about topics not covered in prepared remarks, it may indicate oversight or intentional avoidance. Using LLM vector embeddings on 192,000 earnings calls, executives were scored on:

1. Proactiveness: How well-prepared remarks addressed analyst questions
2. On-topic alignment: Whether responses stayed relevant

Firms with on-topic executives outperformed by 390 bps/year, proactive executives by 170 bps/year, and combining both factors yielded 506 bps/year in a long/short portfolio.

Companies need robust data management capabilities to build and deploy AI. Data needs to be easy to find, understandable and trustworthy. And it’s even more important to secure data properly from the beginning of its lifecycle, otherwise it can be at risk of exposure during training or inference. Tokenization is a highly efficient method for securing data without compromising performance.

In this session, we’ll share tips for managing high-quality, well-protected data at scale that are key for accelerating AI. In addition, we’ll discuss how to integrate visibility and optimization into your compute environment to manage the hidden cost of AI – your data.

With $3.5T+ in annual transactions and 4.5B+ logins, Q2 needed a secure way to share regulated financial data across 400+ institutions while ensuring isolation, compliance and performance in the cloud. This session reveals how Q2 solved this with Snowflake and ALTR’s format-preserving encryption (FPE). Discover how ALTR enables a single Snowflake instance to function as a multi-tenant banking environment, giving each institution the experience of its own secure, isolated database — without the complexity of separate deployments. Learn how Q2 redefined regulatory logging with ALTR, ensuring continuous monitoring, control and auditability at scale.

Data Engineers need flexible, efficient and secure orchestration to simplify data pipelines without the burden of optimizing compute for price and performance. This session introduces the latest Serverless Tasks capabilities that dynamically scale compute based on workload characteristics, optimizing for both performance and cost. Learn best practices to eliminate operational overhead, maximize resource efficiency and streamline your data workflows — all without managing infrastructure. Join us to explore how serverless orchestration is redefining data engineering.

AI initiatives stall when data teams can’t meet the demand for ad hoc, self-service data. Pipelines are not agile enough for AI agents, BI tools or business users needing data immediately.

Promethium enables the data teams to generate instant, contextual data products (data answers) to meet this demand, empowering data teams for AI-scale collaboration with the business. We will demo how to build data answers on Snowflake, extending Cortex AI with additional context to ensure accuracy and relevance.

This session shares lessons and best practices for designing and implementing a Snowflake Feature Store to optimize your machine learning projects. Key topics include database architecture, data modeling, feature lifecycle, pipeline optimization, data quality monitoring and governance. Gain practical insights to overcome challenges, ensuring scalability, reliability and success in your data-driven ML journey. 

Create a completely open observability and security data lake without worrying about storage, storage costs or scalability with Snowflake and Iceberg. In this session we will show how you can use the OpenTelemetry ecosystem of connectors and plug those natively into Snowflake to receive logs, traces and metrics. You'll learn how to build an observability and security data lake using Snowflake to create and manage Iceberg tables in your own object storage.

Ramp, the all-in-one spend management platform, was struggling to get nontechnical users empowered with data. The Data Science team wasn't able to do its best work; insights were scattered across fragmented tools and the team wasn’t able to work efficiently.

Using Snowflake and Hex, Ramp built a “data townhouse” to increase data consumption and improve decision making. They provide verticalized reporting, forecasts and applied AI, increasing user engagement with data across the business.

Come learn from Ian Macomber, Ramp’s head of Analytics Engineering and Data Science, about how his data team organized and executed on this ambitious project.

Join this session to learn how CarMax planned and performed its enterprise data warehouse modernization to Snowflake, which involved more than 450 data pipelines, a data transfer of more than 80 terabytes, and more than 1,200 business intelligence report conversions within 18 months — all while minimizing disruption to end users and applications. The team at CarMax used SnowConvert and partnered with Snowflake Professional Services to accelerate their migration, and they are now keeping the momentum going postmigration with user training through a Snowflake Guild, proactive cost management and exploration of Snowflake AI capabilities.

Join us to kick off Snowflake Summit 2025 in San Francisco! Come hear from Snowflake's CEO, Sridhar Ramaswamy, as he discusses the impact AI has had across organizations and how the Snowflake AI Data Cloud is helping to accelerate enterprise AI. He'll be joined by Lynn Martin, President of the New York Stock Exchange Group, for a conversation on how data and AI are being used to power operations and shape the future of global markets. Then, in a CEO fireside conversation, Sridhar and OpenAI Founder and CEO Sam Altman will explore what the future holds in this new AI era.

Basecamp Welcome Reception

As demand for data accelerates, data teams face a challenge: How to securely provision data access at scale. Immuta tackles these complexities head-on, offering policy-driven workflows that automate data provisioning and help you put Snowflake data to work. In this lab, you’ll hear from industry leaders who have transformed data governance with Immuta. Then, roll up your sleeves for an interactive experience led by Immuta's field CTOs. You’ll learn how to:

• Craft scalable, automated data policies
• Swiftly handle data access requests at scale
• Enforce governance policies and watch them instantly take effect in Snowflake

Traditionally, commerce and retail media networks are built by sending first parties to external tools for activation and measurement, but this results in long build cycles, limited flexibility and vendor lock-in. Instead, bring your media directly to your data in Snowflake to build faster, be more agile and maintain full data ownership.

Join Hightouch, The Trade Desk, and Snowflake and build an end-to-end offsite media network solution to curate, syndicate and measure first-party campaigns for both managed service and self-service operations.

Discover effective strategies for managing Snowflake objects and creating DevOps CI/CD pipelines. This hands-on lab will guide you through utilizing native Snowflake Data Projects as well as the Snowflake Terraform provider to streamline the management of your Snowflake Infrastructure. We will also cover how to efficiently create and manage CI/CD pipelines with your preferred platform (GitHubActions, Azure Devops and Jenkins) to automate deployments of your managed infrastructure.

The Data Drivers Awards program recognizes Snowflake customers (individuals and organizations) who are pushing boundaries, driving innovation and delivering impact within their business and industry — using the Snowflake AI Data Cloud. Join us live at the Builder’s Hub stage as we announce our global Data Drivers Award winners for 2025.

Snowflake executives including Snowflake Co-Founder and President of Product, Benoit Dageville, and Snowflake Executive Vice President of Product, Christian Kleinerman, along with other leaders, will unveil new innovations that make enterprise data and AI even more connected, trusted and easy. They will showcase how organizations of every size are securely bringing AI to data and application development, maximizing value while saving both time and money with Snowflake.

Join your peers at the Europe, Asia & Middle East meetup, where attendees from across the continents come together to build new connections. Come meet local community leaders, share ideas and expand your professional network!

Lunch (TU)

New capabilities and proven patterns are shaping the Snowflake Native App Framework. This session highlights best practices for app evaluation, installation and productionization — whether for internal use, partners or customers.

Join us to explore key topics, including identifying ideal use cases for Snowflake Native Apps, implementing RBAC in line with organizational policies, optimizing compute and storage choices, and designing for seamless upgrades. This session is valuable for both new builders starting with Snowflake Native Apps and experienced developers looking to explore the latest enhancements.

Marriott International showcases its AI-powered conversational analytics solution that democratizes data across the enterprise. Using Cortex and semantic modeling, business users will have over 500 critical business key performance indicators on demand and at their fingertips through natural language queries by asking simple questions such as, "I manage the Beaver Creek Lodge. What was my RevPar last month? How does this compare with last year? What was my ADR for each period?"

Learn how to bring all your data together with Snowflake with open and interoperable pipelines, no matter if it's structured, unstructured, batch or streaming. Join us for new product and feature overviews, best practices and live demos.

Fragmented financial data and manual accounting processes create inefficiencies, delay reporting and hinder timely, accurate decisions. Discover how DoorDash tackled this challenge by building a centralized, cloud-based data hub on Snowflake — eliminating data silos and creating a single source of truth. By standardizing workflows and automating tasks like reconciliations and reporting, the company saved thousands of hours annually. The result: real-time access to accurate data, improved collaboration, stronger audit readiness, and a scalable foundation to support future growth and agility.

A practical Product-oriented guide to leveraging Snowflake's privacy-preserving Collaboration tools, including data protection policies, data clean rooms, synthetic data and more to unlock business value from sensitive data. Modern organizations are looking for ways to collaborate internally and externally on sensitive data of all kinds, while still respecting the sensitivity. Hear from Snowflake's Head of Data Collaboration Strategy on ways to get the best of both worlds.

Successful adoption of generative AI applications in an enterprise require a robust and trusted data foundation. In this session, discover how a joint customer leverages Informatica’s Intelligent Data Management Cloud™ (IDMC) and the Snowflake AI Data Cloud to build a modern data foundation to provide clean, trusted and governed data for their gen AI initiatives. Dive deep into Informatica’s Generative AI Blueprint for Snowflake Cortex AI, highlighting its agentic AI framework to harness metadata, business-specific semantics, and trusted data from Informatica’s Business 360 applications to create business-aware AI solutions.

Toyota Motor Europe is revolutionizing operations with generative AI and Document AI. This session explores how the RAG-as-a-Service (RaaS) platform enhances enterprise search, enabling users to securely access documentation via knowledge chatbots. Additionally, learn how Snowflake’s Document AI streamlines contract management by automating data ingestion and reducing manual work, improving efficiency and driving digital transformation across the organization.

Join this session to learn how Farm Credit Services of America migrated to Snowflake, including dashboards and queries, and decommissioned SQL Server. You'll also hear how Farm Credit Services of America uses Snowflake with Adobe to leverage personalized customer experiences and learn more about Snowflake's role in our $12 billion AgCountry partnership, using Document AI to process over 20 million documents, boosting efficiency and learning.

As AI reshapes industries, CIOs must balance innovation with reliability. This panel explores how CIOs build robust infrastructures, align AI initiatives with business goals, and foster agile teams. Hear how top tech leaders navigate challenges and transform data into competitive advantage in the age of AI.

In this session, see how Snowflake's internal teams — Engineering, IT, Legal, HR and more — use Cortex AI to quickly build and deploy innovative AI use cases. Learn how these innovations drive productivity, cut costs, increase revenue, and most importanly, improve customer experience.

Research shows that 80% of data and AI investments either fail or lead to unused products. However, the main struggle is not with technology, but with organizational and human complexities. Adopting a product-centric approach is foundational to achieve success, but it also comes with many challenges at scale to get a coherent and systematic approach across tens and sometimes hundreds of data and AI products.

Join us to learn pragmatic approaches to design, deliver and drive adoption of data and AI products on Snowflake, along with real-life examples on how to optimize value, risks and costs. Lead with value-driven governance!

Are tech stack complexity and bureaucratic processes slowing you down?  
  
Discover how a modern innovation platform with sandbox capabilities empowers business teams to develop data and digital products faster. Apply a methodology-driven approach to streamline innovation and accelerate time-to-market.  
  
Watch live demos of how teams use the Calibo Sandbox to stay ahead in a fast-paced digital world and leave with actionable strategies to implement immediately. 
 

Come learn more about our new solution for investment managers from Converge by Deloitte. Asset Insight Suite is a cloud-based platform that supports multiple business needs and is a set of prebuilt data services and data models to support asset management use cases. We will dive in to challenges this solution addresses, demo how it works and showcase business outcomes. Come discover how we can drive impact together.   

In this session, two of Snowflake's most senior ML architects will deep-dive into best practices for ensuring maximally efficient and cost-effective development and deployment of ML capabilities on Snowflake. We will cover optimization techniques throughout the end-to-end ML workflow to achieve best-in-class price performance, as well as best practices for managing efficient model deployment and production pipelines. We will highlight different approaches and trade-offs as well as considerations for how to maximize performance and cost efficiency when running enterprise models on Snowflake ML.

How can AI be as transformative as electricity and enable organizations to derive greater business value from their data assets?

Data-derived insights drive better business decisions. To capture the opportunity, financial services (FS) companies need a modernized legacy platform that makes innovative use of AI possible. The No. 1 challenge our clients face is generating powerful analytical insights quickly to enable more dynamic responses to market opportunities.

Explore how to activate your most strategic asset — data — on a modernized platform that can employ AI to deliver better personalized products and services and drive operational excellence and competitiveness.

DIRECTV, one of the largest content distributors in the U.S., didn’t just modernize their data stack — they reimagined it. By implementing a data mesh and rearchitecting their data landscape from the ground up, they established a single source of truth to drive measurable business impact, while reducing their footprint and optimizing their costs.

To ensure this new system delivered trusted, reliable data at scale, they turned to data + AI observability with Monte Carlo to drive data quality, increase stakeholder confidence, and lay the foundation for AI innovation.

Top companies use Sigma and Snowflake to build interactive applications, automate workflows and take action customized to their team’s needs — all without writing any code. Join us for a hands-on lab to explore three distinct last mile analytics case studies and identify the commonalities among them. Learn how to execute machine learning models and democratize Cortex LLMs from Snowflake by leveraging scalable code-free apps in Sigma that tackle these last mile challenges. By the end of this lab, you’ll be able to drive AI adoption across your organization with customizable apps that leverage Sigma on Snowflake.

Do you see the potential of AI Copilots for your organization but struggle to translate that potential into action due to disparate data sources? In this hands-on lab, you’ll learn how to build an intelligent chatbot and talk with your data using Snowflake Cortex Agents and CoPilot Apps to empower your organization to interact with their Snowflake data with natural language. Extend the insights from your Snowflake data for all users with Cortex Agents and Microsoft Copilot.

You’ll develop an intelligent app that can provide insights from both structured and unstructured data in Snowflake using Microsoft Co-Pilot and Cortex Agents. 

As demand for data accelerates, data teams face a challenge: How to securely provision data access at scale. Immuta tackles these complexities head-on, offering policy-driven workflows that automate data provisioning and help you put Snowflake data to work. In this lab, you’ll hear from industry leaders who have transformed data governance with Immuta. Then, roll up your sleeves for an interactive experience led by Immuta's field CTOs. You’ll learn how to:

• Craft scalable, automated data policies
• Swiftly handle data access requests at scale
• Enforce governance policies and watch them instantly take effect in Snowflake

Join an exclusive, guided tour of the Snowflake AI Data Cloud and its premier partner ecosystem, tailored for leaders in Financial Services. This immersive experience will take you through five curated stops that showcase the art of the possible—real-world solutions, cutting-edge AI use cases, and data-driven innovations transforming your industry today. Gain direct access to experts, see industry-leading technology in action, and leave with actionable inspiration to accelerate your data strategy. Space is extremely limited—registration is first come, first served. Please note that this experience includes walking between stops; comfortable footwear is recommended. Please note that the Executive Booth Tours are reserved for customers only—we kindly ask our partners not to register.

Keep the momentum going after the Platform Keynote by joining us in the lounge to unwind, digest the innovation and grab a light bite to eat. This is your moment to relax and connect — whether you're reflecting on what you just heard or want to casually chat with Snowflake leaders and peers. Come recharge, share your takeaways and continue the conversation in a laid-back, welcoming setting.

Discover how T-Mobile and Deep Sync are redefining personalized marketing through the power of Snowflake. Deep Sync, a leader in deterministic identity solutions, leverages Snowflake to manage its identity spine, covering over 97% of U.S. households with the most current and accurate attribute data available. T-Mobile is bringing to market for the first time a new data services business that introduces privacy-compliant, consent-based consumer data. Together, T-Mobile and Deep Sync are transforming how brands engage with consumers — enabling bespoke, hyperpersonalized workflows, identity-driven insights and closed-loop measurement through Snowflake’s privacy-centric infrastructure. Join this session to learn how data and identity are converging to solve today’s modern marketing challenges so consumers can rediscover what it feels like to be seen, not targeted.

Learn how to better oversee, control and optimize the cost and performance of your Snowflake workloads. Join us for new product and feature overviews, best practices and live demos.

Blue Yonder, a global leader in digital supply chain transformation, partnered with Hakkoda to develop a Snowflake Native App that simplifies data onboarding and integration for retailers, manufacturers and logistics providers. Initially designed to streamline data sharing via a Streamlit-based UI, the app has now evolved into a comprehensive data orchestration and AI-powered mapping tool — all within Snowflake. Join this session to learn how we built it and how you can leverage this innovation to optimize your supply chain.

In this session, dive into how J.Crew built a personalized retail experience by connecting its Snowflake data with AI. From dynamic email content that adapts to individual preferences to predictive upsell recommendations, we’ll share the tools that make J.Crew a leader in modernizing data-driven marketing.

Learn practical lessons from J.Crew's journey including implementation challenges, unexpected wins and how the data team became a strategic business partner. Walk away with actionable insights for applying similar techniques in your organization.

 

Everyone is talking about AI agents, but few have seen them in action. In this session, we’ll show how to build an AI analyst that delivers real-time insights to finance, HR, support and more. Using Snowflake Cortex Search and LLM Observability, we'll seamlessly handle RAG, text-to-SQL and reliability at scale. See how RBAC and advanced orchestration reduce time-to-insight, cut costs and empower business units while ensuring data security. Join us for a deep dive and Q&A.

Modern companies are managing more data than ever before, and the need to derive value from that data is becoming more urgent with AI. But AI adoption is often limited due to data security challenges, and adding to this complexity is the need to remain compliant with evolving regulation.

At Capital One, we’ve deployed tokenization to further secure our data without compromising performance. In this session, we’ll discuss lessons learned from our tokenization journey and show how companies can tokenize the data in their Snowflake environment.

Unlock the power of AI-driven marketing with Domo AI and Snowflake AI Data Cloud. In this session, discover how leading brands are using AI to optimize campaigns, personalize customer engagement and maximize ROI. See how real-time insights and automation can transform your marketing strategy — turning data into actionable intelligence. Don’t miss this chance to explore cutting-edge AI solutions that drive smarter, faster marketing decisions!

Join the JPMorgan Chase Wealth Management RegTech team as they showcase their innovative use of Snowflake to integrate data, analytics and AI into a unified platform for all lines of defense, including controls, risk and compliance. Discover their plans to leverage LLM capabilities through Cortex AI to deliver cutting-edge risk and regulatory insights.

Learn best practices that enhance efficiency by 50%, strengthen compliance, mitigate risks and achieve substantial cost savings. Gain valuable insights into proactive risk management and staying ahead of industry trends and challenges. Don't miss this opportunity to explore the future of data-driven compliance and control.

Trust isn’t a byproduct of AI — it’s a prerequisite. In this masterclass, learn how Novartis’s Digital Media and Marketing team applies “Marketing as Science” to build trusted data systems, accelerate campaign delivery and transform healthcare experiences. Discover how they reduced review time from weeks to days — and how trusted, controllable AI agents built with Dataiku and Snowflake are driving innovation at scale.

Drive tangible business results with AI. This session dives into how Infosys Topaz is helping enterprises to personalize customer journeys, optimize operations and unlock new revenue streams. Learn how to leverage AI for predictive analytics, intelligent automation and enhanced decision-making, ultimately achieving sustainable growth and a competitive advantage.

This panel will explore how organizations can leverage data and actionable strategies to build equitable healthcare ecosystems. Panelists will discuss how to align the healthcare ecosystem with the needs of diverse patient populations. This conversation will delve into how creating a more inclusive and equitable healthcare landscape drives accessibility and improves health outcomes for all.

Discover how GXS, Singapore's first digital bank, transforms its data engineering SDLC through a partnership with Genesis, achieving significant gains in cost, quality, and time-to-market. By leveraging autonomous AI agents and task-specific microbots, GXS automates complex processes. The solution features Cortex-AI Agents, Cortex Search, and seamless git/JIRA integration within SPCS. This reduces the SDLC from months to hours, boosting productivity and reinforcing GXS's leadership in banking.

Learn how the Anthology data science team used Snowflake ML to derive students’ behavioral “DNA” from click-level data and uncover common patterns to help our customers better understand their students. This presentation will cover how we experimented with feature creation, neural network autoencoding and unsupervised learning approaches. We incorporated Snowflake artifacts into our iterative development and machine learning operations framework, unblocking research on this previously underused data.

Learn from ConocoPhillips' Data and Analytics Modernization Project, where Snowflake was pivotal in enhancing data capabilities and reducing legacy technology footprint. Key achievements include successful go-live releases, secure data sharing, optimized DevOps, and eliminating 65% of duplicated/deprecated data. We’ll discuss:

• Lessons on change management and overcoming integration challenges
• How we built our data model to leverage Data Sharing, Cortex AI and Streamlit
• How we leverage SAP, GEP, Workday, Wellview and Service Now data in a flexible SOX-compliant security model while fostering cost governance

Ensuring the reliability and accuracy of your data is paramount. This session will explore how Snowflake empowers organizations to proactively monitor and manage data quality at scale. Learn how to automate quality checks, validate data freshness, and run custom rules across your data pipelines. We’ll share real-world examples, best practices, and new Snowflake features that streamline data quality monitoring, helping you build trust in your data and drive confident decision making. This session is perfect for data engineers, analysts and data stewards looking to elevate their data governance strategies.

Snowflake Data Clean Room (DCR) APIs enable application development using secure analytics. Discover how integrating GitHub directly with Snowflake can optimize DCR deployment workflows between engineering and data science teams. This session will highlight the benefits of this integration including increased efficiency, reduced errors, seamless collaboration, and improved customer satisfaction. 

HUB International, the world's fifth-largest insurance consulting group, faced challenges with outdated tools and manual data handling. Partnering with DigBI Consulting, they implemented infused analytics, leveraging Snowflake for centralized data and Coalesce for transformation.

In this session, Dane Bernhardt (HUB International) and Lee Derks (DigBI Consulting) will share how they streamlined ETL, cut manual labor, and revolutionized insurance consulting. Learn how their data-driven approach is reshaping the industry, reducing costs, and improving health outcomes for clients and employees.

The age of AI demands a strong data foundation, and CDOs hold the key. This panel reveals how data officers lead governance, drive analytics innovation and empower entire organizations. Join experts as they discuss harnessing AI for business value, fostering data fluency and ensuring responsible growth.

Autonomous vehicles must always maintain network connections with acceptable signal quality. Quality of the connection may impact ability of the vehicle to safely navigate its way through urban and suburban traffic. By combining the power of the Snowflake AI Data Cloud with Nokia's Network as Code platform, Nokia has implemented an optimal route path algorithm which predicts the relevant network KPIs to ensure that the autonomous vehicle has acceptable quality connections to the network.

Late-night pings, cascading latencies and overprovisioning were all challenges DraftKings' data platform team used to deal with. Learn how DraftKings' new autoscaling approach leveraging Snowflake saved them 200 hours per season of monitoring and scaling. DraftKings now regularly handles volume spikes of 20x with per-minute scaling to process billions of records. The result? No more critical report SLA breaches, stale leadership dashboards or forgetting to scale back down and running up the bill.

High interest rates and the geopolitical landscape are leading to a scarcity of easily available capital. Additionally, there is a push for CFOs to transform their finance organizations for improved control, compliance and cost optimization.

Learn how EY and Snowflake collaborate to help finance organizations gain streamlined and accurate finance data supply chains with scalable compute infrastructure, improved analytics, forecasting and reporting, while reducing the risk of regulatory and compliance errors.

As Fortune Brands Innovations consolidated Snowflake across its subsidiaries, the company needed a seamless solution to integrate data cataloging with security and governance. The ALTR-Alation integration enabled precise data classification, empowering admins with better control while allowing nontechnical users to easily view what's in their data catalog and understand how it's classified, ensuring greater visibility across the organization. This session will explore how this solution — built with ALTR's APIs and Alation's SDK — enhanced FBIN's visibility, compliance and governance, and how as a Snowflake Native App it streamlines deployment for a faster, more efficient rollout.

Learn how Globe transformed customer engagement through an AI-driven Next Best Offer platform serving 50 million customers with hyper-personalized recommendations. The evolution from rules-based to context-aware AI processes 2.5B real-time offer scores, achieving 217% higher campaign take-up and 204% better retention. Join us to learn how we transformed a traditional system into a modern AI solution using Snowflake and AWS to deliver next best offers at scale.

Everyone is wondering how data roles will evolve in the AI era. At Chime, we're already seeing ways in which modern tools are helping our teams do more and have deeper impact — and it's changing the way we're thinking about hiring, staffing and workflows.

In this session, Jeremy Hughes, Senior Manager of Data Engineering at Carvana, and Ian Whitestone, CEO at SELECT, will share how Carvana scaled the Snowflake data platform to thousands of users and millions of workloads processed per day, all while keeping costs stable and driving consistent ROI. They will cover cost allocation strategies, data product ROI measurement, ways to stay on top of usage trends and other rituals and best practices.

Learn how to efficiently build an open and interoperable foundation to scale your data, analytics and AI initiatives. Join us for new product and feature overviews, best practices and live demos.

Learn how to streamline governance and security for data and AI with Snowflake's latest updates to Horizon Catalog. Join us for new product overviews and live demos covering Trust Center, sensitive data, data quality, lineage and more.

Learn how to seamlessly build, distribute and deploy advanced enterprise-grade AI and data apps with efficiency. Discover built-in tools and programs that streamline commercialization for both you and your customers. Join us for new product and feature overviews, best practices and live demos.

Join Tim Gasper, Chief Product Officer, and Juan Sequeda, Principal Scientist and Head of AI Lab, for a candid discussion about the evolution of data governance. Discover how data.world's knowledge graph platform, integrated with Snowflake, transforms governance from a burden into a benefit, with organizations reporting 16x higher adoption rates and 11x faster insights.

Learn practical strategies that combine innovation with real-world needs: interact directly with your catalog, automate governance tasks, and create data products that users will actively utilize — fostering enterprisewide adoption where traditional approaches have fallen short. 

As Shipt's Snowflake usage grew rapidly over the last few years, the company made aggressive cost savings goals in 2024 and was able to meet them by leveraging the latest built-in cost management capabilities that Snowflake provides. Learn how Shipt leveraged capabilities such as Warehouse and Cluster Utilization, Warehouse Events History, Per Query Cost Attribution and Cost Insights to effectively analyze, monitor and optimize Snowflake spend.

AI hype feels impossible to avoid. Every person, business and function stands to benefit from a tremendous leap in productivity. In this talk, phData will cover the wins we’re already seeing and practical lessons about what challenges are faced and what lies ahead. With each story, you will learn about groundbreaking Snowflake products and apps — from Document AI to Snowpark Container Services and more — that power these wins and overcome barriers to adoption.

A strong data platform is essential for effective AI. Access to data through a catalog of data products is crucial. However, disconnect often exists between the data platform, data products, AI capabilities and business value, resulting in isolated AI efforts and qualitative assessments. Our model addresses this gap by clarifying how a “just enough” approach can help businesses focucs on essential components for specific outcomes around data products and AI capabilities. Establishing an “AI Value Office” enhances governance and links investments to measurable business value, justifying data and AI spend with clear returns.

Join this session to learn how Coinbase builds end-to-end ML workflows on top of Snowflake’s platform for optimal data security, governance and price performance. Using features such as Snowflake Feature Store and Snowflake Model Registry, Coinbase now automates batch and online inference on predictive ML models to quickly and accurately unban users who were initially incorrectly flagged as suspected fraud or bots, resulting in an improved user experience and increased revenue.

Discover how the CIO of Janie and Jack is leading data transformation at Go Global Retail, the private equity firm reinventing modern retail. Learn how premium brands like Janie and Jack and Hatch Collection are unifying their data with Fivetran to eliminate silos, accelerate M&A integration, and fuel AI-driven decision making — building a modern, scalable and insight-driven retail portfolio from the inside out.

Join us for an exclusive Ask Me Anything (AMA) session with Snowflake’s top product leaders, where no topic is off-limits. This interactive conversation offers a rare opportunity to engage directly with the minds shaping Snowflake’s strategy and innovation in Analytics & AI. Whether you're looking for insights into product vision, best practices, or upcoming capabilities, this is your chance to go straight to the source.

This session will review general best practices and recommendations when using some of the most popular Business Intelligence (BI) partner tools with Snowflake, including:

• Imports / extracts vs. direct query / live SQL pushdown
• Optimizing warehouses for performance (compute)
• Optimizing storage for performance, including Iceberg tables, dynamic tables
• Recent findings from customer "health checks"

Discover how to build and deploy a no-code, agentic AI platform with Snowflake Intelligence. See how organizations are bringing together structured and unstructured data to make insights accessible across their entire enterprise via an AI-driven agentic interface, all within Snowflake. Join us for a product overview, best practices discussion and live demo.

In this session, discover how Netflix utilizes Snowflake’s highly scalable and performant platform to seamlessly connect to its Iceberg REST catalog and run advanced analytics. We will explore how Netflix is leveraging Snowflake’s latest capabilities—including Iceberg REST catalog integration with auto-refresh, vended credentials, and multi-bucket support—to optimize workloads at unprecedented scale. Join us to gain insights into how these innovations drive performance, efficiency, and scalability in one of the world's largest data ecosystems.

In the era of accelerated digital transformation, the U.S. public sector stands at the crossroads of unprecedented opportunity and significant responsibility. Aligning with critical administrative priorities — such as enhancing citizen experience, improving cybersecurity posture and increasing government efficiency — requires practical, innovative solutions. Join us to explore how Snowflake's AI Data Cloud for Government & Education enables AI-driven analytics and data collaboration to deliver measurable impact on mission-critical operations. Showcasing real-world public sector use case demos, we will highlight how leading government and educational organizations can leverage AI to drive data-informed decision-making, automate processes and fundamentally transform public service delivery.

Looking to build a resilient data platform? Join this session to explore Snowflake’s latest advancements in business continuity and disaster recovery. Learn how BlackRock leverages these innovations to protect Petabyte scale data estate — effortlessly ensuring operational continuity at scale.

As healthcare and life sciences organizations look to transform their business functions by leveraging AI, the ability to ingest and transform multimodal data is more critical than ever. Join the Healthcare & Life Sciences keynote at Summit and hear directly from leaders about how they are working with Snowflake to simplify their data foundations — with the FAIR and TEFCA principles at the core. Hear about best practices, design considerations and customer proof points. Learn what the latest Snowflake announcements mean for the industry. We will also provide actionable insights on how to both enable AI by architecting for interoperability and leverage AI for operational efficiency.

In this session, Snowflake will guide you through the blueprint for becoming an AI-powered telco, covering how real-time data, AI models and advanced analytics are reshaping the industry. We’ll spotlight Zayo as a proof point of what’s possible. David Sedlock will join us to share how Zayo is executing on its AI transformation, the challenges it's tackled and key lessons to accelerate your own journey. The future of telecom isn’t just about speed — it’s about intelligence. With the Snowflake AI Data Cloud, operators are transforming data into decisions, networks into AI-driven ecosystems and challenges into opportunities. Join us to explore what it takes to lead in this new era.

Apache NiFi 2 includes many major upgrades, from Java 8 to Java 21, from AngularJS 1 to Angular 18 and from Jetty 9 to Jetty 12, among others. Apache NiFi is the foundation for Snowflake's managed integration service, providing managed and scalable pipelines for sending data to Snowflake from a variety of sources. Join a project committee member and author of the NiFi 2 roadmap for a review of the goals and implementation that went into this new version. From dependency changes to module restructuring, from code deletion to significant rewrites, this session highlights engineering strategies for extending, refining and pruning a large open source project.

Join Powerex, a leading energy provider, as it shares how Snowflake transformed its data operations, enabling seamless access and innovation. Discover how its collaboration with Yes Energy, Marketplace’s longest-tenured energy data provider, delivers real-time insights to help Powerex quickly adapt to market changes and streamline decision-making. Learn how Yes Energy’s data sharing empowers Powerex and a vast network of other customers to stay agile while ensuring governance and security.

The Met Office, the United Kingdom's national weather service, generates over 400TB of weather data every day and faces challenges making data useful for business decision making. With growing demand for accurate weather information, transforming raw data into actionable insights is crucial.

Join this session to learn how the Met Office uses Snowflake's data platform to ingest NetCDF files, deploy user-defined functions (UDFs), and create variant tables and H3 indexed data for efficient querying and analysis. Plus, see how Cortex AI in Snowflake helps extract insights using natural language prompts, giving users more value from their data.

The modern data stack is crowded with ambitious claims — unified analytics, AI readiness, cost efficiency and seamless interoperability. As enterprises search for a platform that can do it all, three names continually surface: Snowflake, Databricks and Microsoft Fabric. But when it comes to delivering at scale — across workloads, clouds, teams and partners — Snowflake stands apart. 

This session provides a strategic, technical and economic comparison of the platforms across several dimensions including cost, interoperability, data engineering, governance and AI. We’ll demonstrate why Snowflake is uniquely positioned to be the core of the modern enterprise data and AI platform.

See how you can combine the power of Snowflake and ChatGPT or a Streamlit app to unify customer data and extract sentiment from structured and unstructured data. Using predictive LTV models, we will walk you through how generative AI can identify churn risks, fuel loyalty strategies and deliver real-time, AI-driven insights that personalize engagement and boost retention across channels.

Discover how Snowflake’s AI Data Cloud leverages Sigma to deliver unified business intelligence that drives critical decision-making. Join Anahita Tafvizi, Chief Data Analytics Officer, as she shares how Snowflake utilizes Sigma to surface real-time metrics, enabling fast, data-driven decisions in high-stakes weekly leadership reviews — and what this approach means for the future of enterprise data.

Testing Snowflake objects — particularly stored procedures — can be challenging due to data dependencies, lack of repeatability and manual processes. By automating test setup and execution and integrating them into a CI pipeline, teams can achieve faster and more thorough testing of Snowflake stored procedures, which can lead to higher-quality code and reduced risk of regressions. In this talk, Capital One Software's Director of Software Engineering Kishore Kolanu and Senior Lead Data Engineer David Ellis share how they built a reusable testing framework to solve these challenges.

Join this session to explore how Swire Coca-Cola used Snowflake ML to build its Simulator System, a next-generation decision intelligence solution designed to model real-world scenarios with the most accurate, up-to-date data. Built to balance competing priorities, transform insights into actions and optimize strategy selection, it enables businesses to adapt seamlessly to changing conditions. This talk will discuss how this system delivers smarter, faster planning — providing a competitive edge in an unpredictable world.

APIs play a crucial role in providing data interfaces for external services and applications. In this hands-on lab, you’ll learn how to build a public REST API serving data hosted in Snowflake. The API will use the JDBC Driver and the Snowflake Ingest SDK to send and retrieve data from Snowflake. The service will be hosted in Snowpark Container Services and accessible externally.

Expand your Snowflake workflows by combining the power of SQL with Python. In this hands-on lab, you’ll learn to write Python UDFs, DataFrames and Procedures and integrate them seamlessly into your SQL queries, transforming how you approach complex data processing. We’ll also cover practical strategies for monitoring and troubleshooting Python code. Whether you’re a data analyst or BI engineer, this session will give you the tools to level up your skills and unlock new possibilities with Snowflake.

Organizations have various streaming use cases where they need to ingest unstructured data — such as customer reviews or social media comments in text or JSON format — into a lakehouse. Before storing this data in database tables, they often want to process it in real time using generative AI capabilities, such as fraud analysis, sentiment analysis and summarization.

This hands-on lab provides step-by-step guidance on building an end-to-end data pipeline using Amazon Bedrock, Amazon Managed Service for Apache Flink, Amazon Data Firehose and Snowflake.

Workday helps more than 11,000 organizations, including 60% of the Fortune 500, manage their most important assets — their people and their money. The key to Workday’s success lies in ensuring their more than 20,000 global employees are comfortable with and capable of using data to inform their decisions and work.

Join Joe DosSantos, Chief Data Officer at Workday, and Prukalpa Sankar, Co-Founder of Atlan, to learn what it takes to build AI companions and marketplaces that expand the definition of who can use data, carefully governing and building data products with Snowflake and Atlan, and delivering the rich context necessary for accurate, trustworthy insights with AI.

Navigating an AI-powered, data-driven financial services future can be challenging, particularly as the industry faces greater pressure to demonstrate tangible returns on their AI investments. Join the Financial Services keynote at Summit and hear directly from industry leaders about their partnerships with Snowflake, the business and technology challenges they’re looking to solve and the key use cases they’re implementing. And learn what the latest Snowflake announcements mean for the industry. Whether you’re a business executive, a technology leader or a Snowflake user, this session will provide actionable insights on how to architect for data and AI ROI.

Learn how the latest capabilities in Snowflake ML accelerate and simplify the dev-to-prod lifecycle. Join us for new feature overviews and a live demo showcasing our latest innovations. 

Navigate the future of media with the AI Data Cloud. This session reveals how three critical trends — multimodal AI, the unified adtech/martech cloud and a centralized data gravity approach — are revolutionizing content strategies and revenue models. Discover how Snowflake empowers media leaders to deliver personalized experiences, maximize advertising ROI and streamline operations. Witness firsthand how industry pioneers leverage Snowflake and Snowflake Cortex AI to drive innovation and gain a competitive edge in the dynamic media landscape.

The retail and consumer goods industries are undergoing significant transformation, driven by shifting consumer behaviors, global economic changes, supply chain disruptions and, most importantly, rapid technological innovation. This session is designed for business and technology leaders in RCG, offering them insights and strategies needed to navigate and thrive in this evolving landscape. Learn from the transformational experience of the leading global consumer goods company, Snowflake industry experts and key partners as they explore how data and AI technologies are shaping the industries' future.

Connecting Through the Data Sharing Hub - The Texas Department of Transportation (TxDOT) has made significant strides in enhancing data sharing and collaboration with organizations, including the Texas A&M Transportation Institute (TTI), through its innovative Enterprise data platform. The Snowflake platform serves as a pivotal tool enabling seamless data exchange and fostering cooperative efforts across various entities.

Discover how Snowflake is shaping the future of manufacturing with insights from industry leaders at Honeywell, ConocoPhillips, and Penske. Learn how AI and integration of IT and OT data in Snowflake is driving breakthrough performance in supply chains, enhancing shop floor productivity and improving product quality and service. Explore key strategies for building scalable, data-driven manufacturing systems that enable faster, smarter decision-making.

Okta transformed its data strategy by moving from fragmented, ad hoc processes to a governed, scalable architecture with Snowflake and dbt Cloud. This session explores how Okta accelerated development, improved continuous integration and continuous deployment (CI/CD), and empowered teams with self-service analytics — reducing costs, increasing data transparency and delivering trusted insights faster.

Learn how standardizing workflows with dbt Cloud unlocked agility, efficiency and businesswide collaboration.

Generative AI observability holds the potential to transform enterprise data teams. In this session, deep dive into the architecture, benefits and challenges of T. Rowe Price’s gen AI use cases for data discovery and data supply chain innovation — resulting in 50% increased efficiency. Learn how the key components of gen AI observability, including observability into unstructured data, vector databases, LLMs and the AI data stack accelerate data quality management.

Whether you're looking to expand your Snowflake knowledge and skills or open new career opportunities, being able to demonstrate your expertise through SnowPro Certification will help you stand out in the data community and strengthen your career profile. Join our Snowflake experts as they cover how they best prepare for the Snowflake SnowPro Certification program. Learn about the resources available for the SnowPro certification and discuss strategies for acing the exam.

Learn how to accelerate and automate your data warehouse migration to Snowflake with enhancements to SnowConvert, Snowflake's native code conversion and data migration solution. Join us for new product and feature overviews, best practices and live demos.

Discover how Salesforce Data Cloud, Agentforce and Tableau work together to power automation, AI and analytics. Learn how a unified data strategy can drive smarter agents, real-time insights and better business outcomes.

Learn how to build, test and deploy your work with Snowflake's latest developer tooling. Join us for new product and feature overviews, best practices and live demos.

Learn how LegalZoom transformed the role of their data team by leveraging Snowflake alongside ThoughtSpot's Agentic Analytics Platform to produce tangible business impact through data and insights democratization. This session will detail best practices around platform implementation and how to drive internal adoption, empowering business stakeholders to conduct their own data analysis for informed decision-making.

Enterprise search has long been a challenging domain — subjective search relevance, complex tuning options, limited lexical search, and hard-to-manage indexing and infrastructure. However, with advancements in AI, the search landscape is shifting. A new type of search stack is emerging — hybrid search, semantic reranking and eval-driven quality tuning augmented by LLMs. This session covers Snowflake's modern, AI-forward approach to the traditional enterprise search problem. We'll walk through a demo leveraging Cortex Search, LLMs for synthetic query generation and relevancy judging, auto-tuning, and more to quickly build a high-performance, high-quality AI search stack with just a few clicks.

Join us at the Women on Snowflake meetup, where women and allies come together to network and inspire each other. In the tech environment, we recognize that women are often underrepresented due to various factors. This significant gap needs to be addressed. Come by to celebrate achievements, share experiences and foster meaningful connections with women in the industry!

Explore how the rise of agentic ETL and copilots is revolutionizing data engineering. This session will delve into the transformative potential of automation in data integration, reshaping daily workflows, and empowering data teams to focus on innovation rather than routine tasks. Discover how these advancements dramatically enhance productivity, streamline pipeline development, and ensure seamless maintenance in the evolving data landscape.  

Hear the candid and entertaining views of Joe Reis, best-selling author of "The Fundamentals of Data Engineering."

 

At Block (Cash App), we’re breaking down technical barriers to empower any employee to engage with data — no SQL required. In this session, we’ll share our three-phase journey to democratize data insights across the company at scale:

• Phase 1: Developing Streamlit dashboards that empower teams to independently make informed decisions
• Phase 2: Automating our analytics with Agentic AI — from question to insight — cutting analysis time by 95%
• Phase 3: Building integrated, scalable solutions that leverage Snowflake MCP, Codename Goose and Streamlit

Make data human by letting it tell its own story.

State health departments are modernizing data to break silos, enable AI-driven insights and improve outcomes. Leaders from Illinois, Massachusetts and Tennessee share how they built secure, scalable platforms using Snowflake to integrate data, govern sensitive information and power real-time analytics. This panel covers actionable steps for modernization for public health agencies and healthcare organizations on similar data journeys, including platform design, data governance, AI and advanced analytics use cases and lessons learned.

Get the inside track. Join this off-the-record and completely candid conversation with leaders across the healthcare and life sciences industry about how they are driving data, technology and organizational transformation within their companies. This session will explore the data and AI investment priorities at their organizations, the key business and technology use cases they’re enabling, the direction the industry is headed and key learnings from their Snowflake partnerships. 

In this joint Ericsson and Snowflake presentation, we showcase an AI-powered drone solution that leverages LiDAR, 5G and cloud AI to transform real-world operations. Our approach enables real-time capture and processing of high-resolution 3D data, seamlessly streaming insights via programmable networks. By integrating AI-driven analytics with Snowflake’s scalable data platform, we unlock new efficiencies in telecom, disaster response and industrial automation.

Life Time empowers people to live healthy, happy lives through its portfolio of more than 175 athletic country clubs across the United States and Canada and via its complimentary Life Time Digital app. In addition to delivering the best programs and experiences through its clubs, Life Time owns and produces nearly 30 of the most iconic athletic events in the country. Life Time's partnership with Domo and Snowflake has been instrumental in driving transformation, fostering innovation, and aligning technology with business strategy. In this session, discover how Life Time leverages these platforms to empower team members, make data-driven decisions and achieve enterprise goals.

Discover how Stride and phData built an enterprise-grade AI and data architecture to streamline development, enhance safety and ensure accuracy. By migrating from legacy data solutions to Snowflake’s AI Data Cloud, they leveraged Unistore and Snowpipe Streaming to create a centralized API layer, enabling real-time personalization for teachers and students. This transformation cut development time by 60% while maintaining trust, compliance and adaptability.

This session is ideal for data engineers, product managers and architects looking to harness Snowflake for scalable, AI-driven solutions.

Discover how Cognizant helped Warner Bros. Discovery transition from Teradata to Snowflake in just six months, saving millions in licensing fees. By automating 70% of the conversion process and leveraging Cognizant Ignition™ accelerators and Cognizant’s Migration Factory approach, the project modernized the data architecture, improved data accuracy and enhanced accessibility. The successful migration resulted in a robust, autoscaling data warehouse platform, faster project deliveries and significant cost savings.

Many workloads on Snowflake originate from dbt™, but operationalizing those models at scale can be challenging. Developed in conjunction with Snowflake, this DataOps.live solution makes model transformations fully native, eliminating infrastructure complexity, automating deployments and testing, and streamlining the entire process.

Join us for a live demo for how DataOps.live works and comes together with continuous integration and continuous deployment (CI/CD) for Snowflake, and see how you can accelerate development and time to value.

The HR team developed a digital transformation process framework to assess processes using a weighted matrix and generate scores (0-100) for comparison. A heat map visualizes scores, prioritizing efforts and guiding strategic planning. This was previously a manual process that often relied on spreadsheets, limiting security and efficiency. By leveraging Snowflake and partnering with the Streamlit team, we created an app with automated heat maps and role-based access control for streamlining data tracking and planning.

Learn how to build and deploy accurate conversational apps and bring AI-powered data agents into production with ease and trust across your enterprise. Join us for new product insights, feature overviews, best practices and live demos.

Apache Iceberg powers the new world of open high-performance lakehouses, but how does it work? In an SAP-based manufacturing demo, see how Qlik — in collaboration with Snowflake and AWS — fully uses Iceberg. Explore data pipelines integrating IoT devices, structured SAP data and other sources, all managed within Snowflake and AWS. Learn how Qlik enhances Iceberg-managed data with real-time Snowflake Cortex AI integration, Open Catalog and Bedrock Generative AI to elevate analytics and insights.

This session focuses on the practical aspects of implementing data and AI governance within organizations. Learn how to move beyond policy documents to establish effective governance structures, integrate ethical AI practices into daily operations, and utilize tools and frameworks to ensure responsible AI development. Gain insights on transforming data and AI governance from theory to practice.

Join us for an exclusive Ask Me Anything (AMA) session with Snowflake’s top product leaders, where no topic is off-limits. This interactive conversation offers a rare opportunity to engage directly with the minds shaping Snowflake’s strategy and innovation in Apps, Collaboration & Platform. Whether you're looking for insights into product vision, best practices, or upcoming capabilities, this is your chance to go straight to the source.

As AI, internal data marketplaces and self-service access become more popular, data teams must rethink how they securely govern and provision data at scale. Success depends on provisioning data in a way that balances security, compliance and innovation, and promotes data-driven decision making when decision makers are AI agents.

In this session, we'll discuss how you can:

• Launch and manage an effective data marketplace
• Secure your AI initiatives
• Scale your data governors through agentic AI

Join us to learn how to navigate the complexities of modern data environments, and start putting your data to work faster.

This session explores a scalable and automated approach to managing role-based access control (RBAC) in Snowflake using Okta and Terraform. By integrating Okta’s identity management with Terraform’s infrastructure-as-code principles, organizations can streamline user provisioning, enforce least-privilege access, and ensure consistent role assignments tied to functional groups. The discussion will cover best practices for automating access control, aligning with organizational policies, and using declarative workflows to enhance security, scalability and operational efficiency.

Join industry leaders from Rohrman Auto Group and Tealium to learn how Tealium's real-time customer data collection enhances Snowflake data by enabling near-instantaneous ingestion of interaction data, allowing automotive retailers to recapture ownership of their customer data, build a complete customer view and deliver 1:1 personalization across all touchpoints. This is a can't-miss session all attendees will want to join regardless of their industry!

Learn how to streamline CI/CD for Snowflake using dbt, GitHub Actions and Snowflake workflows. This session will cover setting up a CI/CD pipeline, automating dbt model testing, version control and deployments. Attendees will discover how to manage branch-based development and enforce data quality checks. By the end, participants will be equipped to deploy scalable, automated data workflows that support modern DataOps principles.

Discover how Ataccama transformed an idea into a marketplace-ready Data Quality app using the Snowflake Native App Framework. This session offers a behind-the-scenes look at the development journey, covering key aspects such as leveraging Snowflake UDFs, Snowpark Container Services and overcoming deployment challenges. Gain best practices for building robust Snowflake Native Apps and effectively navigating the Snowflake ecosystem.

Deploying machine learning models into production typically involves automated CI/CD pipelines. After experimentation, data scientists commit finalized code, initiating pipelines that replicate development steps on production data for consistency and scalability. This session introduces how Snowflake ML is designed to simplify ML workflow deployment by enabling remote execution directly from orchestration engines, including Snowflake Tasks. Come to this session to learn more about how you can productionize your end-to-end ML pipelines within Snowflake and configure them to trigger model retraining runs and visualize and monitor task execution graphs.

Join Snowflake’s Head of AI Products for a tour of Snowflake’s enterprise-AI vision, recent innovations and roadmap. You’ll see how Snowflake Intelligence, automatic Semantic Model generation and specialized AI tools work together inside Snowflake’s secure platform, turning multimodal data into transformational impact for enterprise customers without infrastructure headaches. Walk away knowing how these integrated capabilities give business users, data analysts and engineers the tools, speed and governance required to deploy AI into production.

Join an off-the-record and candid panel discussion with financial services C-suite executives on where they see AI investment priorities, data and AI design considerations and strategic use cases being implemented across the industry. Moderated by Rinesh Patel, Snowflake’s Global Head of Financial Services, this session will explore the evolving ethos toward AI and what it means for the future of the industry.

Learn how Snowflake is innovating to provide faster, easier-to-use warehouses with better price/performance. Join us for new product and feature overviews, best practices and live demos.

The modern sports landscape is a data-driven arena, where competitive advantage hinges on the ability to extract actionable insights from a deluge of data. This session will delve into the transformative power of data and AI for sports. We will explore how leading organizations are leveraging Snowflake's platform to revolutionize everything from fan engagement and player performance to revenue optimization and operational efficiency.

Retail is evolving with AI and shifting consumer expectations. This panel explores how top retailers are transforming customer experiences across online and offline channels, leveraging social commerce and streamlining supply chains with data-driven insights. Experts will discuss AI’s impact on consumer interactions, predictive analytics, dynamic pricing and operational efficiency. Join us to discover how AI and data are redefining retail, enabling seamless, personalized and highly efficient shopping experiences.

Generative AI is taking the world by storm. What happens when it meets its structured, fact-driven soulmate, the relational knowledge graph? We explore how combining GenAI with knowledge graphs creates a dynamic duo: AI that's not just creative, but also accurate, explainable, and deeply informed. We'll dive into real-world use cases, from chatbots to BI. Expect insights, practical applications, and a few AI-generated jokes (with fact-checking by our knowledge graph, of course!)

Discover Micron Technology's six-year journey to build a unified data platform on Snowflake, integrating manufacturing, supply chain and business data. Learn about its mesh architecture, centralizing security and frameworks, all while supporting decentralized development. Understand how Apache NiFi facilitated data movement into Snowflake. Gain insights from Micron’s data leaders on best practices and benefits of data consolidation.

Airflow 3 transforms data orchestration with three game-changing capabilities:

• Intuitive experience: Revamped UI, DAG versioning and integrated backfills streamline pipeline management
• Enterprise security: Task isolation architecture eliminates direct database connections, reducing exposure risks
• Boundless flexibility: Execute tasks anywhere — from edge to hybrid-cloud to GPU workloads — with remote execution

Discover how these innovations are already revolutionizing how forward-thinking teams operationalize mission-critical data workflows.

 

 

Learn best practices in performance optimization for your Snowflake SQL workloads. We will review our latest features and guide you through best practices in the optimization lifecycle — from monitoring key performance indicators to understanding trends, diagnosing issues and identifying optimization options — ending with implementing optimizations such as Automatic Clustering, Search Optimization Service, Query Acceleration Service and other techniques. Leave this session equipped with practical tools and proven strategies you can implement when you return from Summit, giving you the confidence that you and your team are maximizing value from Snowflake.

Modern data engineering leverages Python to build robust, scalable, end-to-end workflows. In this talk, we will cover how Snowflake offers you a flexible development environment for developing Python data pipelines, performing transformation at scale, orchestrating and deploying your pipelines at scale. Topics we’ll cover include:

• Ingest: Data source APIs, Snowflake file-to-read and ingest data of any format when files arrive, with sources outside Snowflake
• Develop: Packaging (artifact repo), Python runtimes, IDE (Notebook, vscode)
• Transform: Snowpark pandas, UDFs, UDAFs
• Deploy: Tasks, Notebook scheduling

As AI adoption accelerates, public sector leaders must balance innovation with accountability. This panel explores how governments are shaping national AI strategies, ensuring transparency and enabling safe, responsible adoption through modern data governance. Panelists will share insights on overcoming challenges, aligning with ethical standards and driving public trust. Discover how public institutions are turning responsible AI principles into real-world outcomes — from policy to implementation.

Eaton Corporation is undergoing a significant transformation by migrating its data, analytics and AI capabilities to Snowflake, covering eight business functions/domains. This strategic move, guided by data mesh principles, aims to enhance decentralized data management, domain-oriented data ownership, and overall data accessibility. Concurrently, Eaton is implementing a finance transformation, utilizing a central finance alternative approach in Snowflake through a data products approach, to modernize financial operations and improve decision-making. Join this session to discover how these initiatives are driving efficiency, scalability and innovation across the organization. 

Uncover the power of the network effect and a connected AI Data Cloud. This session brings to life how healthcare and life sciences organizations are collaborating with partners to enable business-critical use cases, including patient 360, clinical trial matching, drug supply chain optimization and post-clinical-trial care management. Hear from industry-leading organizations on how they’re architecting around data interoperability, secure data sharing and new AI-powered capabilities to deliver a more efficient, personalized patient journey. 

Call centers handle massive call volumes daily, with complex workflows, high operational costs and the challenge of maintaining service quality. Traditional approaches rely on human agents and rule-based automation, leading to inefficiencies. By leveraging generative AI and machine learning, we developed a solution using Snowflake Cortex AI to predict customer intent, automate responses and optimize call handling. This "Menu of One" approach enhances efficiency, reduces costs and sets a new standard for customer service operations.

Unstructured text — like customer surveys, policy documents and open-ended feedback — can be a goldmine of insights, but extracting and operationalizing that intelligence has traditionally been a challenge. We'll explore how LLMs are revolutionizing the data engineering pipeline by translating “messy” text into concise, actionable answers. By transforming yes/no questions into actionable data points, LLMs empower businesses to surface trends, drive BI reporting, and fuel predictive modeling with meaningful categorical information. See how our customers eliminated thousands of hours of tedious manual data processing in fields such as insurance and finance.

In today's high-velocity data landscape, real-time streaming is the key to competitive advantage. Discover how Snowflake revolutionizes streaming data integration from popular streaming platforms including Apache Kafka and Amazon Kinesis. Learn best practices about streaming ingestion in Snowflake, and experience seamless ingestion, powerful in-flight transformations and custom flows that turn real-time data into immediate business value. 

A company with a ready data strategy is a company ready for AI. The successful implementation of innovative technologies, such as AI, is closely correlated with the strength of an organization’s data foundation. However, data management can be complex, with challenges around data sprawl, quality and governance hindering progress. For visionaries who imagine more out of their data, this session will cover the best ways to overcome this and manage and deliver trustworthy data for AI.

URBN’s iconic brands, including Urban Outfitters and Anthropologie, have long set the standard for customer-centric shopping experiences. Now, using Attentive and Snowflake, URBN is taking AI-powered personalization to the next level. This session explores how optimized ML models enhance predictions, driving higher-performing SMS and email marketing. Learn how URBN unlocks richer insights, deeper customer connections and more impactful marketing strategies — redefining personalization one intelligent, data-driven interaction at a time.

Discover how to effectively utilize Amazon S3 Tables in conjunction with Snowflake to streamline your data analytics workflow. In this session, topics will focus on the practical integration of Amazon S3 Tables and Snowflake, demonstrating how to unlock new possibilities in your approach to data management.

Learn how to create a more efficient and flexible data environment that leverages the strengths of both Amazon S3 and Snowflake. Whether you're a data engineer, analyst or architect, this session will provide valuable insights to enhance your cross-platform data strategy and maximize the potential of your cloud data infrastructure.

Accurate visitor forecasting is essential for optimizing resort operations and enhancing the guest experience. In this session, we’ll explore how Alterra Mountain Company, which operates 19 premier ski destinations across North America, quickly transitioned from manual forecasting methods to scalable ML-driven insights with Snowflake ML. Alterra will discuss how it leverages Snowflake’s native ML capabilities to build scalable daily forecasting models to manage short-term and seasonal forecasts, enabling data-driven decision-making and strategic planning.

Discover how Snowflake and Microsoft Dataverse enable seamless, bidirectional data interoperability — empowering Power Apps developers to build low-code/no-code business applications without copying data. Learn how to effortlessly integrate Microsoft Power Platform — including Dynamics 365 applications — with Snowflake to unlock real-time enterprise insights. See firsthand how AI-powered analytics can drive smarter decisions and accelerate innovation tailored to your unique business needs.

The University of Florida utilizes a cloud-based learning platform to deliver quizzes to students. Individual student responses are only available via API to the vendor's cloud. The university wanted to gather these responses and blend them with existing data. A Snowflake pipeline to extract and blend data was created to meet the need.

Meet fellow decision-makers from media, retail, manufacturing and telecom in this focused executive session. Discuss how data and AI are reshaping customer experience, operational agility and monetization strategies in industries that are rapidly converging and evolving.

Powering business-critical financial services use cases requires access to and seamless interoperability of state-of-the-art, best-of-breed data, services and AI models. This session will bring to life Snowflake’s AI Data Cloud for Financial Services. Hear how industry-leading organizations are tapping into the ecosystem to drive both operational efficiencies and business outcomes. Learn about new capabilities, new partnerships and new data and AI use cases being powered on Snowflake today. 

Do you use SQL to derive insights? This session will highlight several features in Snowflake that make programming in SQL a breeze. Discover a range of powerful features including:

• Leveraging your favorite higher-order functions to easily process arrays and objects
• Writing efficient SQL stored procedures with ease with new features such as Asynchronous child job support
• Easily debugging queries with newly exposed bind variables and more to streamline productivity

In addition, we'll showcase all these in our completely revamped Worksheets UI experience, now featuring split panes, an intuitive chart builder with drill-downs, in-line stats and more!

Honeywell built a data hub on Snowflake with Marketplace data, enabling seamless enterprise sharing and robust disaster recovery. AI-driven summarization of unstructured data provides actionable insights, accelerating decisions at scale. Learn how Honeywell uses Snowflake’s collaboration and AI to drive agility and informed strategy globally.

Discover how Marriott International revolutionizes partner collaboration using Snowflake's Data Clean Room technology, demonstrated through their partnership with Ritz Carlton Yacht Collection. Learn how they implemented their first Data Clean Room for secure data sharing and activation while protecting customer privacy. The session covers implementation challenges, ROI benefits, and future opportunities in attribution analysis and lookalike modeling. Get insights on scaling across partners and leveraging Data Clean Rooms for secure collaboration.

The consumer goods industry is unlocking new opportunities with AI and technological advancements. This session will explore emerging trends shaping the market and how brands are leveraging data-driven strategies to power growth, efficiency and consumer engagement. The leading experts will provide industry insights, followed by a discussion with a consumer goods executive on harnessing AI and data analytics to transform a company. Join us to discover how leading companies stay agile, competitive and future-ready in a rapidly evolving market. 

Learn how Yamaha Motor Finance shifted its corporate mindset from start-up to enterprise after significant pandemic-induced growth. Scaling their tech stack, they ditched spreadsheets for Snowflake and added Sigma to achieve unified business intelligence and democratized data access. Looking ahead, you’ll hear how the introduction of Sigma Data Apps will transform their workflows and enable their financial planning and analysis teams to go beyond canned reports and dashboards to achieve their continued growth targets.

Leverage Document AI and Snowflake Cortex AI to transform unstructured data into actionable insights. Our solution automates vital information extraction from diverse PDF formats, reducing manual effort. Custom-trained models ensure efficient data extraction, while robust pre-processing validates documents. Enhanced metadata management tracks configurations and accuracy. A Streamlit interface enables real-time monitoring and exception handling, optimizing data ingestion workflows for manufacturing.

Financial institutions rely on data for decision-making, but simply centralizing it for analytics is just the tip of the iceberg. The true challenges lie in effective data storage, quality assurance, access control, seamless sharing and consumption, and timely notifications for downstream processes. Our Legend Lakehouse solution directly addresses these complexities. Join us for a discussion about how Goldman Sachs utilizes Apache Iceberg and Snowflake, Legend data models, functions and SDLC to build a secure and highly governed open lakehouse.

Basecamp Happy Hour.

This hands-on lab (HOL: AI209) introduces participants to Snowflake Cortex AI's powerful capabilities for extracting insights from unstructured data. The lab features and you will build a comprehensive Streamlit application that demonstrates multiple AI functionalities accessible directly within the Snowflake ecosystem.
Participants will explore a suite of practical AI tools including:

• Multi-Modal Analysis: Processing images to extract structured information about content (animals, environments, etc.) and transcribing audio files into text
• Text Processing: Translation between 11 languages, sentiment analysis of customer interactions, text summarization, and classification of content into predefined categories
• Generative AI: Leveraging foundation models like Claude, Llama, Mistral, and Snowflake Arctic to generate customer emails, determine next best actions, and answer questions based on provided data

The Streamlit application demonstrates how to seamlessly integrate these AI capabilities into workflows by connecting to Snowflake, managing file uploads to stages, and processing various data types. Through this interactive experience, participants will gain hands-on experience with everyday AI tools that can transform unstructured data into actionable business insights without requiring specialized ML expertise.

This hands-on lab explores several Time Series features using FactSet Tick Data from Snowflake Marketplace, including TIME_SLICE, ASOF_JOIN and RANGE BETWEEN for insights into trade data. Learn how to build an AI-powered chatbot to help drive additional insights from the data.

In this hands-on session, join our instructors to get experience with Snowflake's global data integration service, which offers seamless connectivity between diverse data sources and destinations.

With hundreds of built-in processors and connectors, it handles structured and unstructured data, extending Snowflake's ease of use, security and governance across your entire data journey from sources to analytics to AI workloads.

Join this hands-on lab to learn to build data ingestion from PostgreSQL and Apache Kafka topics into Snowflake, handling schema evolution, routing logic and data transformations on the fly. 

Want to try the latest Snowflake features, but don’t have the time to do it? Find out how to accelerate dev cycles by 10x and create anything in Snowflake in a few clicks using Coalesce’s data transformation platform and your favorite features like Snowflake Cortex and more.

Please bring your laptop and create a Snowflake trial account before the event if you don't have a Snowflake account already.

Embark on an immersive journey to master Snowflake optimization techniques for enhanced query performance and workload efficiency. This lab covers innovations such as Automatic Clustering, Materialized View, Query Acceleration Service, Search Optimization Service and Query Join Skewness Optimization to achieve optimal performance and minimize costs. In this lab, you’ll explore techniques for monitoring and tuning, optimize queries and workloads for maximum efficiency and savings, apply best practices in real-world scenarios, identify techniques for varied workload patterns and use AI for improved query monitoring. Join us to elevate your query performance and tuning skills.

This hands-on lab explores the integration of ESRI and Snowflake for scalable geospatial analytics. Participants will learn how to seamlessly ingest, store and analyze spatial data using Snowflake’s geospatial functions and ESRI’s powerful GIS tools. Through practical exercises, attendees will gain experience in processing spatial datasets, running geospatial queries and visualizing results, unlocking new insights for data-driven decision-making.

Stand out in the data community by earning your SnowPro Certification on-site at Summit, with flexible scheduling and exam dates offered June 4 and 5. Certifications take approximately two hours.

Snowflake invites attendees to experience its latest product innovations firsthand, featuring live demos and in-depth technical sessions led by Snowflake users and experts. Discover how data practitioners are building, deploying and scaling AI applications on the Snowflake AI Data Cloud today.
 

Join this session to explore how Roche is tackling the pharmaceutical industry's challenge of diminishing R&D returns by adopting a Data Mesh operating model. Discover how cross-domain collaboration, a reuse mindset and Snowflake-powered self-serve data infrastructure are driving a data-driven future in big pharma, with a focus on delivering value to patients.

Discover how we integrated Snowflake Cortex AI, Microsoft Teams and AWS to create a Nielsen data analysis bot that revolutionizes market insights accessibility. Using Mistral's LLM, we process natural language queries to generate real-time market share analysis. This serverless solution combines DynamoDB for conversational memory and optimized SQL in Snowflake, enabling business users to obtain critical insights without technical knowledge. We'll present the architecture, the challenges we overcame, and benefits achieved, focusing on data efficiency and accessibility.

In today’s fast-paced retail landscape, AI-driven insights are essential for staying competitive. Join us to discover how Domo AI leverages Snowflake AI Data Cloud to transform retail operations — optimizing inventory, enhancing customer experiences and driving real-time decision-making. Learn how leading retailers are using Domo AI to turn data into action, improving efficiency and profitability. Don’t miss this opportunity to see AI-powered retail solutions in action!

Enterprise AI success requires cross-functional collaboration. In this fireside chat, senior executives from technology, data and innovation will explore how AI is being embedded into enterprise strategies, optimizing costs and ensuring governance. Gain insights into the evolving role of AI in the C-suite, the challenges of adoption, and how leadership teams can future-proof their organizations for AI-driven transformation.

Bringing AI innovation to the data cloud, the Snowflake AI Toolkit is a game-changing, open source accelerator designed to fast-track AI adoption in the Snowflake AI Data Cloud. Built on Snowflake, this tool kit empowers developers to explore Snowflake Cortex AI, prototype AI-driven applications and build advanced AI pipelines such as RAG and fine-tuning — all within Snowflake! The tool kit runs as a Snowflake Native App and integrates with TruLens and the new Cortex Agents. Join us for a look at how we built it, the challenges we tackled and how to use it to supercharge your AI workflow. Get ready for live demos, real-world use cases and a glimpse into the future of AI on Snowflake!

Discover how Jedify built its AI-driven insights platform as a Snowflake Native App, empowering businesses to unify contextual and noncontextual data for smarter decision-making with AI-powered analytics. 

This session explores how Jedify leverages Snowflake Cortex to enhance AI capabilities, streamline data processes and simplify machine learning adoption. Learn how partnering with Snowflake helps startups unlock new opportunities, thrive in a rapidly evolving digital landscape, and hear firsthand from Netlify about how this collaboration has shifted its paradigm with specific results and outcomes.

 

Managing data at scale and efficiency requires a delicate balance of governance and collaboration. Learn how Zscaler’s enterprise data team built its governance framework using dbt Cloud and Snowflake to automate best practices, optimize SQL, and improve data quality across thousands of dbt models and hundreds of business dashboards. Discover how CI/CD processes, lineage tracking and dashboard health scoring can enhance trust and empower teams to develop and govern models faster.

This session explores real-world AI applications tackling global challenges in climate, healthcare and education. We'll discuss the ethical implications of AI deployment, focusing on fairness, transparency and inclusivity. Our goal is to shape a future where AI drives equitable and sustainable progress for all, not just a privileged few. We'll examine how to design and implement AI solutions that create meaningful, widespread benefits. This conversation goes beyond technology, aiming to forge a path where AI becomes a force for universal good and measurable impact.

Monitoring your models in production is critical for ensuring that models behave as expected and business outcomes are safeguarded when performance degrades. Join this session to learn how to use Snowflake's ML Observability to track key model quality metrics (such as performance or drift) over time, with alerts in place when things go awry. This talk will also show how our native ML lineage feature allows you to quickly understand the entire journey of a model for quick workflow audits and debugging. 

Unlock the power of your structured data with Cortex Analyst, Snowflake’s AI-driven text-to-SQL feature. This session will demonstrate how enterprises can set up semantic models to query databases using natural language with >90% accuracy. We'll start with what it takes to set up Analyst, and end with a demo of Analyst running on a publicly available dataset.

Learn how to efficiently scale and manage data engineering pipelines with Snowflake's latest capabilities for SQL- and Python-based transformations. Join us for new product and feature overviews, best practices and live demos.

Open table formats empower companies to bring compute to their data while maintaining a single copy of data. At Capital One, we use Iceberg Tables to optimize ingestion and storage costs in Snowflake without compromising data integrity or performance. This enables us to expand how we leverage Snowflake's capabilities for diverse workloads. In this session, we'll share how Iceberg helps us democratize compute choices along with key learnings from migrating datasets from native Snowflake tables.

Moving from fragmented data landscapes to a state of true AI synergy is a significant undertaking for any large bank. In this candid panel discussion, the Chief Data and AI Officer of a leading financial institution will share practical insights and lessons learned from their journey leveraging Snowflake. Explore the key implementation strategies, best practices and technological considerations involved in building a unified data foundation that empowers AI initiatives across various business units.

While nearly 90% of leaders expect AI investments to drive revenue growth in the next three years, as little as 12% of AI pilot projects transition into production. The consequences of this chasm between pilot and production are existential, and enterprises that bridge this gap to become AI-native will have their data team to thank.

Join Varun Banka and Prukalpa Sankar, Co-Founders of Atlan, to learn how governance and metadata management are evolving to help leading enterprise data teams to become AI-native, fast-becoming the most critical part of the modern data stack by offering the context and trust needed to finally make AI production-ready.

Discover how Snowflake Dynamic Tables revolutionize the implementation of slowly changing dimensions (SCDs). Learn to create automated, self-maintaining data pipelines that eliminate complex ETL processes and reduce maintenance overhead. This session demonstrates practical examples of building Type 1 and 2 SCDs using Dynamic Tables, showcasing their cost-efficiency and performance benefits while ensuring data accuracy and historical tracking.

Managing a multi-tenant SaaS with a complex data stack (lake, warehouse, online transaction processing) and struggling with high cost of goods sold (COGS)?

Explore how SaaS providers are consolidating hundreds of instances onto a single Snowflake platform to unlock new revenue within the Snowflake Data Cloud. Join this session by the Snowflake Enterprise Architecture Office for an in-depth look at the architecture and features behind this transformation

 

Behind every dashboard, there’s a tangle of duplicated work, siloed tools and missed insights. In this session, HubSpot shares how their data team tackled the invisible work slowing them down, not by adding more tools, but by rethinking how their stack supported collaboration, exploration and trust. Learn how they streamlined workflows, empowered analysts of all skill levels, and made analytics a shared capability across the organization.

Traditionally, commerce and retail media networks are built by sending first parties to external tools for activation and measurement, but this results in long build cycles, limited flexibility and vendor lock-in. Instead, bring your media directly to your data in Snowflake to build faster, be more agile and maintain full data ownership.

Join Hightouch, The Trade Desk, and Snowflake and build an end-to-end offsite media network solution to curate, syndicate and measure first-party campaigns for both managed service and self-service operations.

In today’s data-driven landscape, organizations must ensure their Snowflake environments are structured for efficiency, scalability and governance. This hands-on workshop will guide enterprise teams through best practices for data modeling within Snowflake, leveraging SqlDBM’s powerful platform to streamline collaboration, enforce modeling standards and accelerate cloud data initiatives.

Learn practical experience in designing and managing enterprise-grade data models that align with Snowflake’s best practices, ensuring consistency, performance and maintainability across their data ecosystem.

Join this lab to gain hands-on experience with sharing, discovering and managing data products on the Snowflake Internal Marketplace. You will create data provider profiles to define different teams, publish data products as organizational listings with rich meta data, and configure discoverability and accessibility. You will also exercise request-and-approval workflows, as well as the governance and consumption of data products within and across Snowflake accounts.

Join an exclusive, guided tour of the Snowflake AI Data Cloud and its premier partner ecosystem, tailored for leaders in Telecom. This immersive experience will take you through five curated stops that showcase the art of the possible—real-world solutions, cutting-edge AI use cases, and data-driven innovations transforming your industry today. Gain direct access to experts, see industry-leading technology in action, and leave with actionable inspiration to accelerate your data strategy. Space is extremely limited—registration is first come, first served. Please note that this experience includes walking between stops; comfortable footwear is recommended. Please note that the Executive Booth Tours are reserved for customers only—we kindly ask our partners not to register.

Join us at the APJ (India, Asia-Pacific, Australia & New Zealand) meetup, where attendees from across the region gather to build new connections. Come by to meet local community leaders, share ideas and expand your professional network!

Lunch (W)

Deploying a Data Mesh on Snowflake has enabled Toyota Motor Europe to manage data more effectively, allowing each business unit to own, manage, and share their data products. This session will explore three key areas: deploying Toyota's data mesh on Snowflake, leveraging the marketplace for 360° business views, and utilizing Snowflake's capabilities—such as data clean rooms, Streamlit, and hybrid tables—to empower business domains and drive innovative use cases.

In this session, discover how organizations are extracting actionable insights from text, documents, images and audio — all in Snowflake Cortex AI. This session reveals practical techniques for building integrated multimodal analytics pipelines using Cortex AI SQL functions and Document AI. Learn how to orchestrate complex, multi-step data analysis across previously siloed data types — simply, with SQL.

JPMorgan Chase's Corporate and Investment Bank provides payments and merchant services for thousands of businesses globally. As an early adopter of Snowflake at the bank, the Payments Data and Analytics team built Customer Insights, a product to helps businesses understand their customer better, providing valuable input for crafting their customer strategies to recruit and retain new customers while also increasing loyalty through increased frequency of purchase.

As identity resolution grows more complex, businesses need flexibility to orchestrate multiple providers for optimal coverage and performance. Learn how Magnite used Narrative’s Snowflake Native App to compose a unified identity supergraph, allowing them to own their identity strategy. This approach enhances first-party data onboarding to maximize addressability and cross-platform measurement while strengthening the entire identity ecosystem — all without moving data outside of Snowflake.

Komodo Health processes 2M+ daily queries across 1K+ warehouses while managing healthcare data for 330M+ patients. Join us to explore how we transitioned from Snowflake native tables to Snowflake-managed Iceberg tables, enabling seamless interoperability with other data lake engines. This shift reduced redundant data copies, optimized archival, lowered compute costs, and simplified restoration—all while ensuring SOC 2 compliance and improving resource efficiency.

Transform your data strategies to stay agile, responsive and innovative. Join this compelling session to hear impactful success stories of leading organizations that partnered with BlueCloud and Snowflake. Learn how they significantly enhanced operational efficiency, streamlined complex processes and accelerated strategic outcomes. Highlights include automating product documentation, optimizing Salesforce and Netsuite data pipelines, migrating legacy systems to cloud-first solutions, and leveraging AI-powered analytics. Gain actionable insights to drive innovation, unlock powerful analytics and achieve sustainable business growth.

Navigating compliance regulations is complex, but with Snowflake’s Cortex Search, we’ve built a compliance chatbot that acts as a personal legal assistant. Using retrieval-augmented generation (RAG), it integrates Confluence and PDF data, transforming them into structured, searchable insights. Built with Streamlit, the intuitive UI empowers compliance teams to retrieve regulatory information instantly, ensuring quick adaptation to evolving requirements and mitigating compliance risks.

Snowflake ML enables efficient development and deployment of advanced models without any data movement. With multi-GPU support, MLOps integration and Git-based workflows, Container Runtime provides a scalable environment for training, and Snowflake ML’s products such as Model Registry and Model Serving make it easy to deploy these models in production. This session explores best practices for scalable ML workflows and the creation of production-ready ML pipelines in Snowflake.

SQL optimization is essential for enhancing query performance, especially with large data sets that can lead to inefficiencies, while poorly written SQL queries can lead to critical delays and performance bottlenecks. This session explores how generative AI can revolutionize SQL optimization by automating query enhancements and recommending improvements with perfect accuracy. 

We’ll feature a native application for Snowflake, developed using Snowpark Container Services, Streamlit and gen AI, capable of optimizing thousands of queries in minutes and identifying dynamic inefficiencies such as resource contention, overprovisioning and incorrect clustering for cost and performance.

Generative AI is reshaping the future — but is your data estate ready? Legacy systems can’t keep up with the speed and scale gen AI demands. As a Snowflake Premier Tier Partner, Impetus’s LeapLogic automates workload transformation to Snowflake, helping you unlock the full potential of AI-driven innovation.

Join the session to explore how brands like Victoria’s Secret and Bath & Body Works have modernized with LeapLogic, with a live demo of how you can automate your migration journey to Snowflake.

Making data-driven decisions isn't enough — acting on data quickly is key to unlocking its full value. In this session, we'll explore how data streaming makes data available for analysis within seconds, which is critical for time-sensitive business decisions. We'll showcase high-impact use cases, including real-time reporting and analytics, alert systems that detect anomalies immediately, and ML-powered personalization engines that quickly adapt to user preferences. Join us to learn how RudderStack and Snowflake work together to make customer data streaming more accessible for every company, so marketing, product and data science teams can seize opportunities the moment they arise.

Learn how to develop a Streamlit app that generates the code to create other Streamlit apps while allowing users to choose if they want to create a table edit or a form collection app. With a table edit app, users have the ability to select the source table, columns to filter on and whether to disable editing. With a form collection app, they define the form fields. The generating Streamlit app provides SQL to create the target tables, if needed, as well as the Python to create the new Streamlit app.

Healthcare organizations are revolutionizing patient care by integrating Epic+ with Snowflake's AI Data Cloud and AWS services. This collaboration enables comprehensive solutions like Patient360, which combines Epic+ analytics, medical imaging, claims and SDoH data for enhanced patient care, and Supply360, which integrates EHR and supply chain data for optimized healthcare operations.

Through unified architecture and simplified data migration, providers can access scalable, secure analytics that meet growing demands, break down silos and power AI solutions — ultimately improving care delivery, transforming patient experiences and reducing costs.

As AI evolves, firms must choose between being infrastructure providers or full-service solutions — middlemen will fade. Yesenia Swecker of Power Digital discusses why AI-powered service firms will lead by centralizing AI alongside human expertise. Power Digital shares how Snowflake Cortex AI drives scale, client value and future-proofing, offering a blueprint for service firms to own their capabilities and thrive in the AI era.

Learn how the AI-powered EY Data Modernization platform can help accelerate the movement of workloads from legacy data platforms to Snowflake, unlocking business value faster.

Unlock the transformative power of AI by building robust domain data products with Snowflake and Infosys Topaz. This session demonstrates how powerful platforms combine to streamline creation of domain data products. Discover how to leverage the Snowflake AI Data Cloud, Snowflake Cortex AI and Infosys Topaz's AI-first services to transform how data will be organized, stored, accessed and productized for the future.

In this session, learn how Wargaming’s migration from Hadoop and Google BigQuery to Snowflake saved the company half a million dollars annually while unlocking insights to enhance player experiences. Discover how this transition helped Wargaming stay at the forefront of the gaming industry by optimizing data workflows, improving scalability and leveraging Snowflake’s capabilities to drive innovation.

Learn how the latest capabilities in Snowflake ML accelerate and simplify the dev-to-prod lifecycle. Join us for new feature overviews and a live demo showcasing our latest innovations.

In the era of big data, efficient data management and analytics are crucial for organizations. This technical proposal outlines a robust solution for replicating data from Data Lake to Snowflake using the Apache Iceberg format. Integrating these technologies promises to enhance data accessibility, consistency, and performance, ultimately supporting advanced analytics and business intelligence.

Allegis Group overcame data silos and inefficiencies by partnering with Snowflake, Matillion and TEKsystems to migrate 683M records, cut ETL time by 50%, and build a scalable, AI-ready data platform. Learn how they accelerated insights, enhanced analytics and completed their cloud migration ahead of schedule — laying the groundwork for an AI-driven future.

Discover Guitar Center's journey migrating to Snowflake from a mix of on-prem, Redshift and Databricks. This story will focus on three key questions that will resonate with anyone facing or considering a Snowflake migration, offering practical takeaways:

• How should you approach your migration strategy?
• What operating principles drive migration success?
• What are the best practices for migrating to Snowflake?

We’ll also cover general tips, common challenges and how to estimate ROI.

Learn how to better oversee, control and optimize the cost and performance of your Snowflake workloads. Join us for new product and feature overviews, best practices and live demos.

Learn how to easily find, access, share and maximize the value of data across your organization. Explore the latest innovations from Snowflake Horizon Catalog and Internal Marketplace, delivering secure, zero-ETL data sharing to eliminate bottlenecks, drive a data-driven culture and accelerate growth. Join us for product overviews, best practices and live demos on data sharing to drive collaboration across your organization.

Experience how SoFi optimizes Snowflake’s AI Data Cloud to create efficient, cutting-edge data products that refine data operations. Learn about the frameworks, merging techniques and automated workflows that simplify analytics, improve oversight and reduce risk. This session provides participants with the foundational strategies to replicate these impactful solutions within their own organizations.

Snowflake Support manages approximately 100,000 cases annually, assisting customers with queries, guidance and issue resolution. Quick access to Snowflake platform and ecosystem information is essential, but filtering relevant content from knowledge articles, product docs, Jiras and support cases can be challenging. Snowflake Cortex Search simplifies this by enabling efficient content discovery when data is in Snowflake. This session explores how Snowflake Support leverages Cortex Search for content retrieval and RAG in B2B customer service.

Join this session to learn how to successfully move data engineering workloads to Snowflake. We will share best practices and review reference architectures that can ensure success while migrating to Snowflake. Topics include:

• Migrating PySpark code
• Migrating Notebooks to stored procedures
• Data movement: Iceberg tables/Snowflake native tables
• Code testing, CI/CD approaches, performance and optimization considerations
• Data validation considerations and anti-patterns/considerations

Step into the marketer’s seat. In this session, we’ll navigate the marketing journey, stopping at each checkpoint to show how Snowflake can boost your marketing success. With Snowflake, trust is your foundation with privacy and security at every stage. Relevance is our advantage, with AI guiding us to the right players with the right message at the right time. And impact is no longer a mystery — we’ll measure every decision to maximize success. This session won’t just cover a typical campaign — it will take you on a data-driven adventure to the future of marketing. Join us to unlock the future of AI-powered marketing and turn insights into action, step by step, on the road to launch.

Trust Center is a risk posture management for Snowflake accounts. Trust Center has been a key tool in helping customers migrate to more-secure posture by providing a programmatic framework to verify CIS benchmarks against the Snowflake account, discover users that are not using MFA, drivers that are outdated and many other issues. Join us to see how these new features can solve complex security problems in your account and how our security partners are extending Trust Center functions using native app frameworks.

In this session, learn more about Snowflake’s end-to-end ML platform and how it supports creating production-scale deployments and operationalization of your models. We will dive into MLOps essentials and Snowflake’s capabilities for model management and model serving. You can easily bring models trained externally, or train them at scale using Snowflake ML, and then securely and scalably deploy them for inference with our flexible serving environments. At the end, we’ll bring this to life with a real-life scenario of managing production models, running continuous evaluations to train and deploy champion-challenger models. 

 

Learn how to efficiently run analytics over unstructured data, geospatial data and other advanced formats with Snowflake's latest SQL functions. Join us for new product and feature overviews, best practices and live demos.

A strong testing framework is essential for ensuring stability and efficiency in software development, and databases are no exception. At Tenable, we've developed a Snowflake database testing framework that seamlessly integrates with our CI/CD pipeline. This automated, reliable solution has been proven to enhance the robustness of our database testing, ensuring continuous quality and faster delivery.

AI is revolutionizing how companies approach marketing. However, most of the attention is focused on how AI can be used for text and image generation - ignoring the tremendous value that exists in structured data. In this session we will share learnings about how Snowflake has harnessed the power of AI and Graph Neural Networks (GNNs) to develop targeted marketing campaigns to recommend new features to our customers using Kumo’s Snowflake Native App.

Discover how Podium harnesses Snowflake Cortex LLMs to automate qualitative churn analysis at scale. Learn how the company transforms raw customer interactions into actionable insights — uncovering pain points and churn drivers with ease. This session explores how Cortex LLMs simplify text analysis, making it a cost-effective, seamless solution for extracting deep customer intelligence. Don’t just track churn — understand it.

Boston Children’s Hospital is improving children’s health worldwide by unlocking the full potential of data. With diverse and sensitive healthcare data, strong data governance is essential for ensuring quality, compliance and accessibility. This session explores BCH’s governance strategies, supported by Snowflake and Alation, that drive data trust, adoption and usability — laying the foundation for analytics, AI and better patient outcomes.

Join this session to explore the key concept and learn how to build a simulated LLM-powered route optimization app using Streamlit and Carto’s Overture maps for delivery planning.

The app leverages Cortex LLMs to filter maps, generate customer samples and optimize routes. The process is documented in a Lab notebook, resulting in a dynamic visualization within Streamlit in Snowflake. The backend integrates SPCS and a Docker image of an open-source route optimization service to generate routes from real data. The app will be published as a Snowflake Native App.

Discover how the Booking.com Data DevEx team scales data platforms with Snowflake by integrating PySpark, Iceberg, and an S3‐based architecture. Leveraging an in‐house PySpark SDK, we process hundreds of terabytes daily while synchronizing catalogs, optimizing S3 reads, and ensuring high data quality and performance. Gain practical insights into overcoming technical challenges in large‐scale platform development, migration, and operational excellence, with actionable insights.

Invesco, a major asset management firm, is witnessing substantial growth in Snowflake usage, which is driving significant business value — but at one point, this also led to unhealthy consumption levels. Learn how Invesco collaborated with Snowflake to implement various optimizations, including warehouse consolidation, warehouse right-sizing and best practices for Automatic Clustering and Materialized View. These measures have not only resulted in substantial savings but also led to avoiding significant future costs.

The web is on the verge of a major shift. Agentic applications will redefine how customers engage with digital experiences — delivering highly personalized, relevant interactions. In this talk, Snowplow CTO Yali Sassoon explores how Snowplow Signals enables agents to perceive users through short- and long-term memory, and how Snowflake Cortex Agents can help leverage this long-term memory using Snowflake's connected data platform.

Join this session to learn about the Hana/Hadoop to Snowflake (H2S) program, which is modernizing Southern California Edison's (SCE) enterprise data warehouse (EDW) infrastructure by migrating from on-premises SAP HANA and Hadoop systems to Snowflake. Discover how this transformation is driving significant performance improvements, cost savings and enhanced agility to better align with business needs. The team at SCE will share insights about the multiyear program, which involves migrating 44 applications and over 200 terabytes of production data, and how this shift is shaping SCE’s future in the cloud.

Discover how O'Reilly Auto Parts, a leading automotive aftermarket retailer, uses Alation's data intelligence platform to enhance trust in their Snowflake data and reduce cost. This session will explore O'Reilly's use of Alation to catalog critical data assets, view end-to-end lineage, and implement strong governance policies. By leveraging metadata to certify data assets, O'Reilly fostered trust in their data, enabling faster and more confident decisions. Alation is also helping O'Reilly reduce cloud cost by cataloging the most efficient queries and reducing API calls to systems that are billed on consumption. Learn how your organization can achieve similar results.

Cloud gaming revolutionizes gaming by hosting and rendering games on remote cloud servers, eliminating the need for downloads or high-end hardware. Players stream games across various devices, relying on stable internet connections. A key challenge is optimizing the state of streaming, encompassing factors like traffic, error rates and server performance. PlayStation leverages Snowflake as its centralized data warehouse. We also leverage Snowpipe, views and stored procedures to ingest and process near real-time streaming data. Snowflake’s robust architecture enables data-driven insights, improving player experience and highlighting cloud gaming’s growing role in the industry.

Discover how Toyota Motor Europe revolutionized their connected car data management using Snowflake. This session reveals how TME successfully integrated petabyte-scale Apache Iceberg datasets from AWS with Snowflake, while maintaining stringent European regulatory compliance. Learn practical insights on architecting a modern data stack that combines AWS Glue & Snowflake to break down data silos, enhance vehicle quality, and elevate customer service through secure cross-regional collaboration.

Today, field service operations often face challenges stemming from disconnected data, limited real-time information, and difficulty accessing the right expertise at the point of service. Technicians may struggle to diagnose complex issues, leading to repeat visits, extended downtime and frustrated customers. This session will delve into how we can move beyond these limitations by creating a truly "connected technician" experience, leveraging the power of agentic AI within the unified data environment of Snowflake.

From AI to analytics, right outcomes start with right data. In this session, discover how Snowflake’s managed integration service powers seamless, multi-modal data integration — from batch to real-time, structured to unstructured — all within the Snowflake platform. Using the W5H lens, we’ll unpack the who, what, when, where, why and how of Snowflake’s managed integration service — and how it unlocks ETL for AI at scale. 

As organizations scale, they face critical choices in modernizing data strategies and operations. This session explores the synergy between human expertise and agentic AI, addressing key considerations like governance, automation and scalability. Learn how Genpact uses the Snowflake AI Data Cloud to optimize decisions and scale effectively with a new, AI-enhanced operating model.

Value determination and the latest Snowflake capabilities are utilized by KPMG to deliver innovative data product solutions that bring business and IT together. Join us for a speed round of industry use cases and client stories, demonstrating how data products shorten time to insight, increase productivity and expand margins, finally delivering on the promise of business value.

Imagine delivering critical business insights in half the time, with a data workflow so streamlined it practically manages itself. That was the vision for T-Mobile's credit risk team, grappling with a complex data ecosystem spanning Oracle, Databricks, Azure, Salesforce and SQL Server. Faced with the limitations of their initial Azure Data Factory, Databricks and stored procedure setup, they partnered with Tredence to forge a new path. The result? A modern data engine powered by Azure Data Factory for efficient ingestion, dbt for rapid transformations and GitLab for seamless version control. This strategic shift didn't just unlock 50% faster development and 20% cost savings through optimized Snowflake utilization; it fostered a unified, collaborative environment with automated documentation and crystal-clear data lineage. Peek into their future as they build a semantic layer and model registry and use Snowflake Cortex Analyst to empower self-service anomaly detection.

Snowflake recently launched new capabilities to help organizations build data agents connected to enterprise data environment. This session explores why Snowflake makes it easy to iterate, monitor and observe agentic AI systems. Learn associated best practices related to RBAC integration in agentic workflows and applications. The session will also focus on change control and environment management and the software development lifecycle within the AI agents develoment lifecycle. 

Striking the right balance in marketing frequency is crucial — too many messages can lead to churn, while too few may weaken engagement. The Braze Instant Insights (BII) application helps brands fine-tune their messaging cadence using AI-powered analytics, ensuring optimal engagement without overwhelming customers. This session will include:

• Identifying the ideal cadence for sustained customer engagement
• Preventing over-communication, reducing churn risk
• Optimizing marketing strategies in real time with data-driven insights

Join us to discover how data-backed frequency insights can transform customer engagement!

Edmund Optics faced significant inefficiencies with its team of 50 technical support engineers. Despite advanced science backgrounds, the engineers spent an average of 25 minutes per inquiry, sifting through unstructured documents to address repetitive, low-value technical queries. Leveraging Matillion’s speed of development, integration with Snowflake and cutting-edge AI capabilities, they transformed their operations, lowered response times by 40%, and saved >100 engineering hours a month. Learn how Edmund Optics used Matillion’s powerful integration and AI tools to improve scalability, efficiency and support quality, revolutionizing the way their team handles technical inquiries.

Cloud adoption isn’t just a technology shift, it’s a transformation in how organizations operate, innovate, and compete. In this candid, interactive session, Snowflake executives open the playbook on what it really takes to unlock value from the cloud. From overcoming organizational inertia to building an AI-ready data foundation, the conversation will explore both the strategic and cultural elements required to drive long-term impact. Come ready to challenge, compare, and contribute. 

In this hands-on lab, you'll build a production-ready streaming data pipeline using Python and Snowflake's new Rowset API. Learn how to efficiently ingest real-time data streams into Snowflake, create automated aggregations, and visualize insights through an interactive Streamlit application. You'll walk away with practical experience in modern data engineering techniques and a functional end-to-end pipeline that can handle continuous data flows at scale.

Organizations have various streaming use cases where they need to ingest unstructured data — such as customer reviews or social media comments in text or JSON format — into a lakehouse. Before storing this data in database tables, they often want to process it in real time using generative AI capabilities, such as fraud analysis, sentiment analysis and summarization.

This hands-on lab provides step-by-step guidance on building an end-to-end data pipeline using Amazon Bedrock, Amazon Managed Service for Apache Flink, Amazon Data Firehose and Snowflake.

Top companies use Sigma and Snowflake to build interactive applications, automate workflows and take action customized to their team’s needs — all without writing any code. Join us for a hands-on lab to explore three distinct last mile analytics case studies and identify the commonalities among them. Learn how to execute machine learning models and democratize Cortex LLMs from Snowflake by leveraging scalable code-free apps in Sigma that tackle these last mile challenges. By the end of this lab, you’ll be able to drive AI adoption across your organization with customizable apps that leverage Sigma on Snowflake.

Join an exclusive, guided tour of the Snowflake AI Data Cloud and its premier partner ecosystem, tailored for leaders in Marketing. This immersive experience will take you through five curated stops that showcase the art of the possible—real-world solutions, cutting-edge AI use cases, and data-driven innovations transforming your industry today. Gain direct access to experts, see industry-leading technology in action, and leave with actionable inspiration to accelerate your data strategy. Space is extremely limited—registration is first come, first served. Please note that this experience includes walking between stops; comfortable footwear is recommended. Please note that the Executive Booth Tours are reserved for customers only—we kindly ask our partners not to register.

As a market leader, BlackRock has grown deep relationships with our clients by offering services spanning the whole portfolio and asset management lifecycle. To manage those relationships at scale, BlackRock has developed Client Intelligence, a suite of AI capabilities powered by Snowflake Cortex Search. Bringing together structured and unstructured data, public and internal sources, in a secure a scalable platform, provides an unlock for how BlackRock can better serve our clients' needs.

Snowflake’s Dynamic Iceberg Tables redefine data pipeline development by offering the only platform-native, declarative approach to writing open Apache Iceberg tables—ensuring interoperability and no vendor lock-in. Simply define a SQL transformation and target lag, and Snowflake handles processing, optimization, and table writes, eliminating infrastructure management. This session will showcase how Dynamic Iceberg Tables enable seamless pipeline chaining, full visibility into execution, and near-zero operational overhead. Attendees will learn how Snowflake simplifies Iceberg adoption while delivering the flexibility of open storage with the ease of a fully managed cloud engine.

Danaher is unifying customer data across more than 15 operating companies to power enterprise AI applications. Daniel Bruckner, Co-Founder and Chief Technology Officer at Tamr, and Thomas Hill, Senior Director, Digital AI and Commercial Enablement, at Danaher, dive into how Snowflake and Tamr’s AI-native MDM work together to master messy, siloed data into enriched Golden Records with unique Tamr IDs and 360-degree views. This results in better insights, customer experiences, sales and marketing opportunities, compliance and governance.

To gain trust in Generative AI applications, a robust observability framework is needed. In this session, we will demonstrate how users can instrument an AI application with Trulens, an open source observability framework, to trace each component of their application and use LLM-as-a-Judge evaluations to identify and improve points of failure. Attendees will learn about best practices in enabling observability in their AI workflows and common feedback functions used for evaluation. We will also explore using the observability framework as a mechanism to compare application versions to determine which version is best fit for production use.

The increasing complexity of data management in multi-data catalog environments, challenges due to data silos, inconsistent schema management and interpretability across diverse platforms requires innovate solutions for seamless data integration and accessibility. Barclays is strategically utilising Snowflake for Iceberg generalisation to enhance data unification, governance and accessibility in this multi catalog world.

In today’s fast-paced data landscape, businesses need real-time insights powered by transactional data. CDC streaming has emerged as a critical technology to ensure that operational databases seamlessly feed analytics and AI applications without disrupting core business operations. Join us in this session as we unveil Snowflake's new OLTP database CDC streaming connectors, purpose-built to bridge transactional data with Snowflake in real time.

In this session, we’ll explore how Tenable leveraged the Snowflake platform to deploy its application, addressing critical business challenges and technical requirements. 

We’ll discuss key design choices, the high-level architecture, and how Snowflake’s capabilities enabled scalability, security and efficiency. Through an in-depth conversation, we’ll uncover why Tenable built its solution the way it did, providing insights into best practices for architecting applications on Snowflake. Whether you’re building your own application or looking to optimize an existing one, this session will offer valuable takeaways on design, implementation and real-world impact.

This talk will cover how Cboe Global Markets uses Snowflake Cortex AI to analyze data. Hunter Treschl, manager of Cboe's AI Center of Excellence, will describe the overall architecture of their tool that contains AI-generated data dictionaries, SQL generation, python generation and code execution. The session will highlight some of the "gotchas" Cboe discovered developing the tool, as well as share best practices and a Snowflake-first approach to developing the company's data analysis tool.

Discover how Canva’s data team unified commercial impact estimation for experiments and initiatives to enable data-driven decision-making. This session explores how Canva leveraged Snowflake’s data warehouse, Snowpark and Streamlit to make a powerful tool for simplifying insight extraction and empowering stakeholders. Learn about the app’s architecture, challenges and lessons, and uncover strategies to boost insight efficiency and accelerate development with Snowflake’s advanced capabilities.

Yum! Brands is building the world's most loved, most trusted and fastest-growing restaurant brands in partnership with the best franchise operators in the business. They are the parent company for the iconic brands KFC, Taco Bell, Pizza Hut and Habit Burger. In this session, you will learn how Domo and Snowflake help Yum! Brands connect and access the data it needs to support HR, sales, operations and other business use cases with up-to-date insights by combining Snowflake’s scalable data warehousing with Domo’s intuitive analytics and visualization tools. This enables Yum! Brands to make more informed and timely business decisions across its brands and franchise operators.

Learn how to accelerate and automate your data warehouse migration to Snowflake with enhancements to SnowConvert, Snowflake's native code conversion and data migration solution. Join us for new product and feature overviews, best practices and live demos.

As sensitive data continues to rapidly proliferate across businesses, staying ahead of privacy and compliance requirements like HIPAA, PCI-DSS, CCPA and GDPR is not just a regulatory necessity – it's a strategic priority. Join us to discover how Snowflake's out-of-the-box capabilities, such as sensitive data monitoring, can effortlessly detect and provide a comprehensive view of your sensitive data with just a few clicks. Also hear firsthand from a Snowflake customer about their journey in building a comprehensive data governance foundation, empowering their data teams while maintaining centralized oversight — and ultimately improving the experience for their customers.

Lidl, Europe’s largest retailer, operates in 32 countries with 10,000+ stores and a single ERP system. Recently, we redesigned our ERP analytics platform for near-real-time data, cost-efficiency, and flexibility. This talk shares how Snowflake and Apache Iceberg transformed our data infrastructure. Show how we tackled challenges in managing pipelines creating CDC-based Iceberg tables, data freshness, scalability, schema evolution, data quality, and cost-effective analytics querying in Snowflake.

Computers are increasingly able to "see" the world. This session will demonstrate multiple Snowflake-native visual AI solutions from industry leader LandingAI. Topics include object detection, object tracking, visual question answering, advanced document extraction and more. 

Marianne Halloran, data science manager at GenMark, will share a 2024 project to develop and implement an automated system to improve the detection of defects in a microdispensing process using a visual AI platform.

Go inside the AI-powered playbook of one of the fastest-growing enterprise software companies with Snowflake CMO Denise Persson and VP of Growth Hillary Carpio. Under Denise’s leadership, Snowflake has not only transformed its marketing function but has redefined how AI, data and technology fuel business strategy at scale. In this session, Denise and Hillary will share lessons from building an AI-driven growth engine, forging deep alignment between marketing and sales, and using data and AI to drive smarter customer engagement, faster decision-making and sustained market leadership.

As compute warehouses become more commonly used, they become more cost efficient. At Pfizer, business domains at first had their own compute warehouses, and distinct functions (such as ETL, reporting, etc.) within each domain had their own dedicated warehouses. Pfizer has since switched to one set of common warehouses, one of each size and a larger value for MAX_CLUSTERS so that the warehouse handles many concurrent queries. Learn how Pfizer has seen cost savings of 30% without any performance degradation by using this approach.

Honeywell leverages Snowflake as a mission-critical data warehouse, unifying data from ERP, sales, finance and supply chain across four business groups. This single source of truth powers gold-standard BI reporting, enabling executives to confidently evaluate performance and drive strategy. Discover how Honeywell’s data-driven approach streamlines financial closes, enhances operational efficiency and delivers trusted insights at scale.

Novartis is transforming its data analytics platform with Snowflake’s scalable architecture, enabling business teams to access trusted, curated data. As the first pharma company to earn EDM Council Platinum Certification, Novartis integrates MDM, metadata management and federated governance to support HCP clustering, AI-driven analytics and commercial insights. Discover how a well-managed Snowflake ecosystem fuels business value and enables strategic decision-making at scale.

Unleash the power of AI and data to revolutionize the music and entertainment industry. Learn how Luminate and Snowflake are transforming the landscape. Explore how AI-driven insights, powered by Snowflake Cortex AI, can help to unlock the potential of Luminate's vast proprietary data set, enabling more-informed decisions and innovative strategies for the music and entertainment industry. Join us to explore the future of entertainment, powered by the combined strength of Luminate and Snowflake.

dbt recently announced a multi-engine data mesh strategy which is appealing to many. In this session, we will discuss embracing a pragmatic approach to multi-engine landscapes. For edge cases, Snowflake can govern additional engines via Snowpark Container Services (SPCS). We will demo a dbt project executing models across Snowflake warehouses and Dynamic Tables alongside DuckDB in SPCS as an example of an external engine. Results will be stored in Parquet/Iceberg, governed by Snowflake Materials.

 

Booking.com has confidently accelerated their AI vision with a solid and smart data governance foundation, built on Snowflake and Immuta. We will discuss Booking.com's AI goals, how agentic AI is reshaping the traveler experience, and the importance of scalable data governance in making it happen. We’ll also discuss how Booking.com’s data marketplace allows them to find, share and provision instant data access, allowing data owners to share data at scale to achieve a truly connected customer experience.

Does your AI actually deliver? In the high-stakes game of AI, the right data strategy is your ultimate cheat code. Join data and AI leaders from industry-leading companies and hear them share their secrets on how they’ve built scalable, high-quality data foundations that make or break AI success. From smarter governance for trusted data to unlocking real-time insights via self-service, these are pivotal to AI success you can’t afford to miss. Ready to play the game differently?

Optimizing Snowflake for an enterprise involves configuring and managing Snowflake to achieve ideal performance and efficiency for large-scale data analysis by optimizing query execution, data storage and warehouse usage. See how the AI-driven solution that Kraft Heinz developed provides an enterprise with visibility on utilization and levers causing changes in utilization, the identification of optimization opportunities and a 360-degree view of each opportunity with confirmation on the related savings realized.

Minutes of data downtime cost millions, yet many teams remain reactive. In this session, see how you can overcome these challenges using an automated observability platform for thousands of pipelines. You’ll learn to:

• Slash detection times (more than 70%)
• Prevent high-impact outages with confidence
• Deliver reliable AI foundations
• Uncover blind spots with proactive anomaly detection

Join us for a technical deep dive and walk away ready to transform your data operations.

Are your Snowflake credits working smarter — or harder? Misconfigurations, bad queries and idle compute waste budget fast. CDW’s Warehouse Optimization and Analysis (WHOA) helps maximize cost efficiency, performance and insights — without live agents or intrusive monitoring. Learn to spot waste, optimize usage and see real results — and do better things with your credits!

The world of data science is evolving, and so are the tools analysts use. Positron, a next-gen integrated development environment (IDE), and Posit’s Native App integrations with Snowflake enable seamless, multi-language workflows with minimal admin overhead. This session explores how Posit and Snowflake empower Python and R users to work efficiently in their preferred environment. Join us to see how these innovations expand the Posit ecosystem, enhance Snowflake and streamline data workflows.

We propose and demonstrate an architecture that swaps compute engines by workload size. Using Apache Iceberg™ as a central store, end users can query small-to-moderate data locally with DuckDB in the browser but automatically switch to Snowflake for large-scale queries. We address predicate and projection pushdown, local caching and SQL transpilling. This mixed-engine approach is flexible, reduces cloud costs and scales effortlessly.

Learn how to bring all your data together with Snowflake with open and interoperable pipelines, no matter if it's structured, unstructured, batch or streaming. Join us for new product and feature overviews, best practices and live demos.

Unlock the full potential of AI and analytics with the support of a Snowflake data mesh implementation. This session will walk you through building federated and governed Snowflake pipelines that empower teams to find, transform and manage data autonomously using Coalesce’s data transformation platform and AI-powered data catalog.

You’ll learn how to:

• Empower domains with decentralized data discovery and transformation
• Embed governance and compliance into data workflows without creating bottlenecks
• Enable engineers, analysts and governance teams to collaborate seamlessly with self-service data infrastructure

Get together at the U.S. & Canada–West meetup, where attendees from the region gather to build new connections. This is your chance to meet local community leaders, exchange ideas and expand your professional network. Join us!

Join us to explore the cutting-edge Snowflake Tasks features that are transforming how organizations orchestrate their data pipelines. You will learn practical insights into using Tasks for effective data pipeline orchestration. Get inspired by Blue Yonder’s success story that showcases how using Tasks has led to significant cost savings and data pipeline performance optimizations. Learn how these innovative solutions can help you elevate your data game, drive business transformation, and revolutionize your approach to stay ahead in an increasingly data-driven world!

This session dives into building secure, modern data applications on Snowflake, focusing on robust security measures. Attendees will explore proven architectural patterns that leverage Snowflake’s security model, including role-based access control (RBAC), row-level security, secure views and dynamic data masking.

Learn strategies for designing multi-tenant architectures with strict data isolation, optimizing performance while maintaining security, and monitoring data access. We’ll also cover implementing data governance frameworks for compliance. Leave with practical insights and best practices to build secure, scalable, high-performance applications on Snowflake

Learn how to efficiently build an open and interoperable foundation to scale your data, analytics and AI initiatives. Join us for new product and feature overviews, best practices and live demos.

Unlock optimized performance and cost efficiency! Explore Penske’s successful journey converting Databricks workloads to process 50% faster in Snowpark. This real-world case study will equip you with key technical paradigms and keen insights you’ll need to achieve a frictionless migration for your organization. Deliver a more streamlined and performant data engineering environment that also translates into tangible financial savings through reduced infrastructure costs and optimized compute.

A global enterprise is advancing its autonomous intelligence strategy by implementing a medallion architecture within Snowflake to support agentic AI systems. By leveraging Snowflake’s multi-layered architecture of data, the organization enables AI agents to observe, reason and act with high-quality, real-time data. This structured data flow empowers agentic AI to perform dynamic decision-making and automated actions across customer experience, supply chain optimization and cybersecurity operations. Coupled with Snowflake features like Snowpark for embedded ML and time travel for auditability, the medallion approach forms a scalable and secure data backbone for enterprise-grade agentic AI.

Disjointed back-end systems were limiting the analytics experience for Aptos ONE customers. To modernize analytics and deliver critical insights, Aptos partnered with BlueCloud to build a high-performing cloud data warehouse using Snowflake and Coalesce. In just three months, this robust data foundation transformed Aptos ONE—enhancing scalability, streamlining analytics, and bolstering customer confidence in a world-class product. Attendees will gain actionable insights, proven best practices, and a roadmap to accelerate their own data modernization journeys, empowering them to unlock the full potential of retail analytics. 

In this session, you’ll hear from Scene+, a large customer loyalty program in Canada, about how it uses Snowflake ML to streamline and improve its ML workloads, eliminating cross-platform data movement and reducing project timelines and costs. With end-to-end model workflows built and deployed entirely in Snowflake, Scene+ cut time to production on feature engineering, training and inferencing by over 60% for more than 30 models.

Fanatics is laser-focused on relentlessly enhancing the fan experience across the entire ecosystem. Sports fandom is multifaceted. It extends beyond merchandise sales and into adjacent sport businesses such as collectibles, online betting and events, and so does our data infrastructure. This session will showcase how we're building FanGraph: a comprehensive 360-degree identity graph powered by Snowflake cloud technology and AI, which enables enterprise-level analytics, precision segmentation, personalized recommendations, cross-sell and strategic monetization opportunities. Join us to explore the future of data and AI in sports!

Migrating a legacy data warehouse to Snowflake should be a predictable task. However, after participating in numerous projects, common failure patterns have emerged. In this session, we’ll explore typical pitfalls when moving to the Snowflake AI Data Cloud and offer recommendations for avoiding them. We’ll cover mistakes at every stage of the process, from technical details to end-user involvement and everything in between — code conversion (using SnowConvert!), data migration, deployment, optimization, testing and project management.

Join the value engineering and professional services teams for practical guidance on implementing FinOps best practices with Snowflake. You will also hear from our customer Carvana on how easy it is to implement the FinOps pillars of visibility, control and optimization in Snowflake through dashboards and reports to track consumption, cost drivers and unit economics; cost governance strategies such as workload prioritization, resource allocation and user tracking; and optimization initiatives such as right-sizing warehouses, enhancing query performance and leveraging automation. Equip yourself to implement FinOps in Snowflake for better cost management and enhanced time to value.

As consumer preferences shift rapidly, winning brands anticipate needs and exceed expectations. Optimove’s agentic AI-powered predictive cross-channel marketing platform helps businesses make smarter decisions, optimize marketing and create seamless data-driven customer journeys.

This session explores key considerations for implementing AI-driven personalization and looks at how Optimove leverages Snowflake to power its data customer experiences.

Stuck on a treadmill of endless data requests? Omni and Snowflake Cortex let your users answer their own questions with a little help from AI. No magic, no miracles — just smart tooling that gets the semantics right to deliver clear, actionable insights. This talk will provide a blueprint for keeping pace with AI while freeing up your team to focus on what really matters.

A unified customer 360 is the key to delivering personalized, data-driven experiences — but building one is easier said than done. In this session, we’ll show you how to break down data silos, unify and enrich customer profiles, govern data and activate it at scale using Twilio Segment and Snowflake. Learn how Segment streamlines data collection and identity resolution into Snowflake — and how those rich customer profiles can then be activated to power impactful, revenue-generating campaigns.

Modern data ecosystems face increasing complexity with the proliferation of AI models, metrics and event streams. This sesion explores how Spotify tackled this challenge by implementing a comprehensive data lineage framework that serves as the foundation for tracking multiple dimensions of our data ecosystem. We'll share our journey demonstrating how data lineage can be extended beyond traditional use cases to encompass AI model lineage, metrics lineage and event lineage.

The digital transformation of manufacturing enterprises faces fragmented and unconnected data landscapes. A modern data platform enables a standardized model across all domains with their assets, processes and systems to establish a digital thread. Advanced AI, generative AI to agentic AI enable the creation of actionable insights to improve operational efficiency and gain competitive advantages. We show how this unified approach resolves key challenges in manufacturing digitalization.

Cox Automotive needed to accelerate AI model development and improve collaboration between data science and engineering teams. In this session, learn how Dataiku, integrated with Snowflake, helped Cox Automotive reduce model deployment time by 70%, streamline ModelOps and drive innovation. Discover how the combination of Snowflake’s data platform and Dataiku’s AI capabilities enabled Cox Automotive to transform operations and deliver faster, scalable AI across products and services.

Join an exclusive, guided tour of the Snowflake AI Data Cloud and its premier partner ecosystem, tailored for leaders in Media & Entertainment. This immersive experience will take you through five curated stops that showcase the art of the possible—real-world solutions, cutting-edge AI use cases, and data-driven innovations transforming your industry today. Gain direct access to experts, see industry-leading technology in action, and leave with actionable inspiration to accelerate your data strategy. Space is extremely limited—registration is first come, first served.  Please note that this experience includes walking between stops; comfortable footwear is recommended. Please note that the Executive Booth Tours are reserved for customers only—we kindly ask our partners not to register.

Learn how to deploy the best-in-class OSS models in Snowpark Container Services for AI-driven insights in Snowflake. Join us for new feature overviews, best practices and a demo featuring an advanced agentic use case.

Join us to explore the journey of America’s largest public hospital system toward data democratization, leading to enhanced decision-making and organizational agility. Decentralized teams at 11 acute care hospitals generated more dashboards and drove greater business impact than centralized teams. Attendees will learn about the evolving role of Data Champions, the Data Literacy Program, the curation of structured data assets and ways to ensure access to Snowflake's modern data and AI platform.

At Carlyle, we transitioned from a legacy on-prem data warehouse to a fully metadata-driven columnar data warehouse on Snowflake. This session covers challenges, best practices for data pipelines, and frameworks for ingestion, transformation and auditing. We’ll explore Snowflake Secure Data Sharing, Dynamic Tables, and scalable compute and real-world solutions to streamline workflows, manage complexity and boost performance. Hexaware has been a key partner in this modernization journey.

Experience the future of data engineering with enterprise AI data agents in this immersive demo. See firsthand how intelligent Genesis agents autonomously discover and extract data from Databricks' bronze layer, leverage dbt for efficient transformation, and deliver it seamlessly into Snowflake’s secure, performant gold layer. Driven by cutting-edge agentic automation, Genesis streamlines complex data pipelines, minimizes manual overhead and proactively monitors workflows — all running natively within Snowflake. This session is ideal for data engineers and AI specialists eager to optimize efficiency, accuracy and unlock unmatched productivity.

Unlock the full potential of generative AI in Snowflake with hands-on prompt engineering! In this live demo, we'll build and refine prompts from scratch, showcasing how to harness LLM-powered features like Cortex Analyst, Document AI and Cortex functions. Attendees will see real-time development, practical use cases and best practices to get the most out of Snowflake’s AI capabilities — whether for extracting insights, automating workflows or enhancing data pipelines with AI-driven intelligence.

Ageas, a leading UK personal lines insurer offering motor and home insurance, partnered with EY to migrate its data from legacy systems to Snowflake's AI Data Cloud. This session will detail the migration journey and highlight key learnings.

Wolt shares how they built a state-of-the-art internal location data platform by combining Snowflake’s native geospatial functions with the Honeycomb Native App for interactive map visualizations. This platform enables team members around the world to see the selection that’s available to customers in each area and easily identify areas that should be prioritized for improvements. By leveraging the Snowflake Native App framework, data always loads quickly, is up to date, and offers built-in authentication.

Establishing a data and AI-driven culture doesn’t happen overnight. And it won’t happen with just a vocal leader, no matter how big the megaphone. Real buy-in requires a show rather than tell approach. When people see and hear real results, real change typically follows. Better yet, participation gives them a stake in the game. Join this session to hear how Snowflake’s customers communicate the value of data and AI to develop a data culture and drive truly transformative change.

Learn about the latest and greatest cost management capabilities in Snowflake to optimize your spend and get the most bang for your buck. This talk will walk through capabilities and best practices that you can use today.

In this session, meet Athena, Mariana and our AI data agent, Aida. Learn how teams can enrich every step of the data delivery pipeline, from raw data wrangling to executive reporting and data-driven decision making. Join Salesforce's Slack Business Analytics Data Engineering team exploring insightful, agentic data products, utilizing Snowflake Cortex Analyst and Slack to delight data practitioners and business leaders alike with actionable insights meeting them right in the flow of their work.

This session will explore why and how Snowflake's unique capabilities are crucial to enable, accelerate and implement industrial IoT use cases like root cause analysis of asset failure, predictive maintenance and quality management. The session will explain the use of specific time series capabilities (e.g. asof joins, CORR & MATCH function), built-in Cortex ML functions (like anomaly detection and forecasting) and LLMs leveraging RAG to accelerate use cases for manufacturing customers.

SAP data shouldn’t be siloed — it should drive your business forward. Coke One North America (CONA), a technology services provider for the North American Coca-Cola bottling business, overcame the challenge of integrating SAP data to unlock real-time insights and create a more cost-effective data architecture. Join this session to hear how they enabled self-service analytics and optimized operations with Fivetran and Snowflake — giving 30,000 users seamless access to the data they need to drive smarter decisions.

What started as a means to federate development and share data across the enterprise turned into a productized data ecosystem for Fiserv’s customers. Hear from Marc Rind, Fiserv's Chief Data Technology Officer, about the data journey Fiserv has taken for the company and for their customers with Snowflake.

Pacific Life, a 150-year-old mutual company with a strong brand, continuously balances modernization with trust. For the past five years, Snowflake has served as its backbone, supporting data management, data science and gen AI initiatives. As Snowflake expands its offerings, Pacific Life strategically integrates offerings like Snowpark, Streamlit, Dynamic Tables and Cortex into its ecosystem. This session will explore Pacific Life’s journey in adopting these innovations within a highly regulated environment.

In this session, We will enable CDAO's Enterprise Data Strategy by exploring the full lifecycle from the concept of data products—packaged, readily consumable data assets—to their distribution through Snowflake's internal marketplace. We will drive home 5 key points within this data product lifecycle: 1. Simplified data access for business users 2. Improved data discoverability and understanding 3. Increased data utilization and adoption 4. Accelerated time to insight 5.Metrics & Considerations

Snowflake will block single-factor password sign-ins starting in November 2025. To make this easy, we’ve added new identity and access capabilities such as support for new MFA methods – including passkey and authenticator apps – native support for CSP workload identity, programmatic access tokens (PAT), and many more. We are also introducing a range of identity products that will help with collaboration following the least-privileged principle, including restricted caller’s right and user-based access models. Join us to see how these new products come together and how you can improve your authentication, authorization and access approach with them.

Maxa, a leader in AI-powered financial analytics, specializes in helping businesses optimize performance through data-driven insights. Hear from Maxa on enterprise-grade CI/CD best practices to streamline Snowflake Native App development and deployment. Learn how to design efficient CI/CD pipelines, implement automated testing, and leverage advanced versioning techniques between Git and Snowflake. Discover automated deployment strategies using Snowflake CLI, optimize release management with app release Channels, and enhance observability through Snowflake Trail.

Embark on a journey through the development of AI chatbots, from initial prototype to robust, scalable and secured products deployed across multiple factories in different countries. This session highlights the integration of Cortex LLMs and Cortex Search, leveraging multilingual capabilities and integration to other systems to create seamless user experiences for a global user base. Discover how an idea born in business has scaled within the organization through a citizen developer approach.

With Snowflake's integration service, Snowflake is providing enterprises with open, extensible and secure data integration capabilities that enable real-time, scalable and bi-directional data movement. Powered by Apache NiFi, this service offers customers the option to use a self-contained data plane in Snowpark Container Services, as well as the ability to run BYOC data planes in the customer’s cloud VPC. We will dive into the platform architecture in this technical session.

Snowflake and Apache Iceberg™ go great together, but did you know things can get even better? With Table Format V3, engineers at Snowflake and in the community have come together to bring some previously vendor-exclusive features into the open! In this session, we’ll look at an overview of the new features in V3. Variants, geometric types, row lineage and more are all available now and portable between engines. Come and learn about how engine interoperability just got even better!

AI is only as smart as the data it learns from. Without trusted, governed, accessible data, AI fails. Enter Minimum Viable Data Governance (MVDG) — the foundation of AI success. This session covers why AI fails without MVDG, how Snowflake enables scalable, automated governance, and real-world examples. Learn how lightweight governance removes friction and fuels AI — not a checkbox, but a necessity. MVDG ASAP!

Productionizing ML models doesn't have to be hard. In this talk, see how Snowflake ML makes it easy to securely and scalably deploy models for inference and manage them in production. We'll discuss how Cloudbeds chose Snowflake ML to process over 4 billion data points per hour to drive demand forecasts across 20,000 hotels with XGBoost-based models as part of its proprietary causal AI framework, resulting in 95% forecast accuracy. Cloudbeds seamlessly deploys models with Snowflake Model Registry for inference. The result is scalable causal AI forecasts that adjust room rates and drive coordinated marketing actions based on predicted demand as part of the Cloudbeds Intelligence commercial platform.

In today’s fast-paced B2B landscape, real-time data is crucial for driving lead engagement and optimising sales. This session explores how Canva’s marketing tech stack leverages Snowflake’s Streams, Tasks, and Dynamic Tables for seamless workflows, while Cortex AI delivers precise lead scores and flags. Discover how this approach enhances lead prioritisation, and scales data solutions, tackling the challenges of real-time pipelines to meet Canva’s growing data demands.

Join us to learn how we transformed Dynamic Yield, a subsidiary of Mastercard, and its recommendation engine by migrating from legacy systems such as HBase, Flink and Spark to Snowflake. See how Snowflake powered statistical and ML algorithms along with reporting pipelines, driving enhanced performance, scalability and simplicity. This session will cover key challenges, lessons learned and the measurable impact of our migration journey.

At NatWest Group, rising Snowflake costs led to a shift from reactive to proactive cost optimization. Initially focused on cost spikes, NatWest realized users lacked the tools to effectively manage costs; by partnering with domain teams, NatWest improved cost visibility with a "cost per query" feature, resulting in $600,000 in savings. Learn key techniques from NatWest on how a proactive, cross-functional approach can unlock significant savings and efficiency.

CareFirst and phData show how Snowflake Cortex AI is transforming healthcare payor operations by streamlining access to imperative member and provider data. Traditionally, customer service associates navigate multiple systems to assist callers. With Cortex Analyst, they can swiftly access claims, benefits and enrollment insights in one place to make critical and informed health decisions. Learn how this innovative technology empowers healthcare payors to deliver easier, smarter, more efficient and personalized support.

If your SAP and Snowflake data remain disconnected, you’re missing a key piece. Enriching your data is crucial to drive better decisions, power smarter AI, and ensure good data in, good AI out. However, integrating data can be challenging — manual processes are slow, integrations are complex and silos persist.

SnapLogic makes it easy. With pre-built SAP connectors and automated pipelines, you can quickly bring SAP data into Snowflake — no coding, no headaches. Join us to learn how companies use SnapLogic to integrate SAP data and uncover best practices.

 

Discover how to build and deploy a no-code, agentic AI platform with Snowflake Intelligence. See how organizations are bringing together structured and unstructured data to make insights accessible across their entire enterprise via an AI-driven agentic interface, all within Snowflake. Join us for a product overview, best practices discussion and live demo. 

Learn how to build data pipelines on Iceberg with Dynamic Tables. This talk will demonstrate how to build an end-to-end pipeline that ingests the data into Snowflake, processing it with Dynamic tables both on Snowflake managed Iceberg data lakes and externally managed data lakes, and then run an Apache Spark job on the golden data.

Building resilient data transformation pipelines requires more than just writing code — it demands a structured lifecycle that ensures reliability, performance and maintainability. This session explores best practices for managing the data pipeline development lifecycle in Snowflake, from creation in a rich IDE to robust testing, monitoring and debugging. We’ll cover strategies for version control, data quality testing, leveraging telemetry for proactive monitoring, and using UI-driven tools for faster debugging. Attendees will gain actionable insights into streamlining development workflows, reducing downtime and ensuring data integrity across the pipeline.

Scaling data teams in the era of AI is no small feat. Workday embarked on a major transformation, replacing up to 15 technologies to build an AI-first data ecosystem, with Sigma as the last mile for analytics. They have also embedded Sigma into their analytics development process, leveraging it for rapid prototyping. With a focus on both scale and velocity, the enterprise data team streamlined operations, centralized analytics, and empowered decision-making across the organization. Join Workday’s Senior Director of Data Products and Senior Director of Data Portfolio & Strategy to learn how large organizations can drive AI transformation at both speed and scale.

All Nippon Airways (ANA), Japan’s largest airline, boosted performance by 62% by migrating from parquet external tables to Snowflake Managed Iceberg, establishing a Single Source of Truth. Using Snowflake Notebook, they built a custom ETL connector in three days at $10/month. They also utilize Cortex ML with a custom dbt Materialization, enabling everyone to perform ML operations. In this session,hear from Mr. Ioka and Mr. Matsuura on how Snowflake powers ANA’s “BlueLake,” serving 40,000 users.

Learn how to streamline governance and security for data and AI with Snowflake's latest updates to Horizon Catalog. Join us for new product overviews and live demos covering Trust Center, sensitive data, data quality, lineage and more.

WHOOP has worked toward building an enterprisewide chat application for all employees throughout their organization. The application utilizes an agentic approach incorporating Snowflake features such as Cortex Analyst, Cortex Search, Cortex Agents and various LLM functions. Come learn more about this innovative generative AI agentic solution.

Learn how Block leveraged Streamlit in Snowflake to create an intuitive self-service application that empowers users to efficiently manage their data storage lifecycle. This solution automated table retention policies, optimized storage costs and enhanced data governance while reducing administrative overhead. Block will dive into the architecture, implementation challenges and best practices that enabled it to scale this solution across the organization.

Data clean rooms are rapidly evolving from privacy-preserving data collaboration environments into powerful engines for AI- and ML-driven insights. This session will dive into the technical architecture and product capabilities enabling clean rooms to support advanced use cases across the marketing lifecycle — from identity resolution and lookalike modeling to cross-channel attribution and real-time optimization. Beyond advertising, we’ll examine how these innovations are scaling into verticals like retail and healthcare, where secure data collaboration is unlocking next-gen personalization, predictive analytics and clinical insights.

The Tampa Bay Rays’ business analytics team stepped up to the plate with a major data challenge — silos, slow reporting and inefficiencies were holding them back. By migrating to Snowflake and leveraging Coalesce, they turned their data game around, cutting development time by 75% and improving reliability across ticketing, marketing and fan engagement. Join this session to learn how a small but mighty team built a scalable, automated analytics powerhouse that keeps the entire organization ahead of the curve.

Clover's POS relied on slow batch data, hindering timely decisions on inventory, staffing and finances. Partnering with Striim, they implemented real-time data streaming from MySQL to Snowflake on Google Cloud. This shift provided instant insights into sales trends, stock levels and workforce needs. The outcome: accelerated decision-making, streamlined operations and improved cash flow. This modern, automated data pipeline delivers actionable, up-to-the-minute analytics, revolutionizing POS industry efficiency.

This session dives deep into the practical techniques Nordea employed to build a data warehouse using Snowflake and Airflow. Discover how to prioritize delivery pipelines, implement build-in quality through practices like test-driven development and trunk-based development, and automate the core layer using Data Vault 2.0 features like stored procedures and Snowflake scripting. We'll also explore how to leverage the "ASYNC" command and build a presentation layer with DYNAMIC tables. Join us for actionable insights and techniques to accelerate and optimize your own data warehouse creation process.

PayPal has multiple cloud providers for data and reporting workloads. Learn how we shared our Snowflake generated data with multiple cloud providers without typical ETL processes by leveraging a Snowflake managed Apache Iceberg catalog, replication, and dynamic tables.

With Informatica's Intelligent Data Management Cloud platform, enterprises can establish a strong data foundation that integrates clean and trusted data from disparate sources from across the enterprise to ensure precision and relevance in AI-driven responses. In this session, via a live demo, we will showcase how Informatica's generative AI blueprint supports the development of enterprise-grade generative AI solutions using Snowflake Cortex AI by enhancing and contextualizing prompts with business-specific semantics and metadata.

Open source data lakes are growing, but fragmentation limits accessibility. Apache Polaris's catalog federation bridges this gap, enabling seamless data discovery and governance across multiple open formats and platforms. This session explores how federation empowers users to unify metadata, query distributed data sets and maintain interoperability — without vendor lock-in. Learn best practices to maximize Polaris for an open and connected data ecosystem.

Composable isn’t the future, it’s the standard. But execution is everything. In this session, we’ll walk through how technical teams at Autodesk, Docusign and The Globe and Mail are designing and deploying modern customer data architectures with Uniphore while operationalizing their Snowflake AI Data Cloud. Learn how these enterprises built scalable, secure pipelines for real-time marketing activation and are working toward the ultimate goal of composability — activating directly from Snowflake and eliminating data duplication. Plus, hear how Uniphore is upleveling the audiencing and activation process with AI. Join us if you're looking to operationalize your AI Data Cloud investments and make your data truly activation-ready.

In a rapidly evolving AI-driven world, equitable access to education is paramount. The Snowflake Academia program, through Snowflake's "One Million Minds, One Platform" initiative, democratizes AI and data education. This session highlights how Snowflake empowers university students worldwide with a free, hands-on data analytics curriculum, AI labs and industry-recognized certifications. Featuring testimonials from pioneering educators in the United States and Austria, it showcases real-world impact stories. Join us to see how Snowflake Academia breaks barriers, enabling educators to integrate Snowflake into classrooms and offering students practical skills to thrive in the global job market!

Learn how to efficiently scale and manage data engineering pipelines with Snowflake's latest capabilities for SQL- and Python-based transformations. Join us for new product and feature overviews, best practices and live demos.

Unlock the full potential of your software development data by combining GitLab's comprehensive DevSecOps platform with Snowflake's powerful analytics capabilities. In this presentation, discover how leading organizations leverage this powerful combination to drive security intelligence across their software lifecycle. Learn how to transform raw security events, issue tracking data, and turn CI/CD metrics into actionable insights that enable proactive risk management and enhanced decision-making.

BlackRock, the world's largest asset manager, uses Snowpark to create a Java-based asset resolution service for maintaining data on millions of securities and assets. This service, utilizing Python UDFs and proprietary name stemming algorithms, significantly improves the speed and accuracy of asset resolution. After implementing Snowpark, the service resolved over 2 billion timeseries in approximately 20 minutes, compared to eight-plus hours with the previous API-based solution.

Are you an analytics engineer looking to improve your architecture and DevOps practices? Have you been experimenting with new features like Snowflake Dynamic Tables or is your organization considering new architectural approaches? 

In this lab, you'll learn: 

• Developer-centric tips for discovering and accessing data products across Snowflake Marketplace, ad-hoc uploads and connecting via Snowpark external access
• Alternatives to lambda architecture for streaming data sources with Dynamic Tables
• New materialization options with Dynamic Tables and Apache Iceberg

Discover how to leverage Snowflake's advanced capabilities to build enterprise-grade data engineering solutions in this hands-on session. Participants will gain practical experience in constructing a complete Open Data Lake pipeline in a lakehouse architecture.

• Bronze layer: Real-time ingestion from streaming sources and databases
• Silver layer: Build processing pipelines with Dynamic Tables for data refinement
• Gold layer: Create curated data with Snowpark and Snowflake Notebooks

Join an exclusive, guided tour of the Snowflake AI Data Cloud and its premier partner ecosystem, tailored for leaders in Manufacturing. This immersive experience will take you through five curated stops that showcase the art of the possible—real-world solutions, cutting-edge AI use cases, and data-driven innovations transforming your industry today. Gain direct access to experts, see industry-leading technology in action, and leave with actionable inspiration to accelerate your data strategy. Space is extremely limited—registration is first come, first served. Please note that this experience includes walking between stops; comfortable footwear is recommended. Please note that the Executive Booth Tours are reserved for customers only—we kindly ask our partners not to register.

Connect with EMEA-based executives navigating AI adoption, data strategy and innovation at scale. This exclusive networking hour is designed to foster dialogue among leaders managing complex regional dynamics while pursuing global impact.

Summit reception party.

Stand out in the data community by earning your SnowPro Certification on-site at Summit, with flexible scheduling and exam dates offered June 4 and 5. Certifications take approximately two hours.

In this hands-on lab, you’ll deploy visual language models (VLMs) using Snowpark containers to process unstructured, multi-modal data such as images and videos. Learn how VLMs enhance AI assistants and RAG workloads by extracting meaningful insights from these types of complex data. We will review best practices for deploying VLMs in Snowflake, managing governance, and integrating AI-driven image analysis into enterprise workflows. By the end of the session, you’ll have a fully functional VLM-powered pipeline that processes images and generates intelligent insights — all securely within Snowflake.

In this lab, you'll build a model to predict purchase likelihood by analyzing relationships between performance metrics, product differentiation and customer reviews. This lab will guide you through the following: 1) Use generative AI to process feedback (sentiment analysis, review quality, retailer interactions), 2) aggregate unstructured features with structured web analytics features (performance metrics, user interactions, reviews), 3) train custom models, 4) analyze feature importance (technical performance, product quality, customer experience), and 5) create stakeholder visualization. By the end, you’ll know best practices for predicting purchasing likelihood at your company.

Snowflake Native Apps built with Snowpark Container Services unlock powerful new capabilities, enabling developers to build virtually anything they can imagine. However, ensuring these applications are reliable, observable and resilient requires a deep understanding of how the Snowflake Native App Framework and Snowpark Container Services work together.

Join this session to build a Snowflake Native App with Snowpark Container Services. This session will also dive into the key details and patterns essential for building resilient, observable containerized services on the Snowflake Native Apps platform.

AmorePacific is a trailblazer in Korean beauty that exemplifies leadership in data strategy. By empowering real-time segmentation of 10 million customers, AmorePacific has achieved insights 53x faster, facilitating seamless omnichannel integration while reducing costs by 30%.
Learn how this transformative journey toward a customer-centric data platform offers a blueprint for using data to drive growth.

Retail business is competitive, but AI-led transformation offers immense potential. This demo-story session showcases a retail CEO overcoming fragmented data challenges to drive actionable insights with analytics and AI, powered by Snowflake and Microsoft. Learn how Microsoft technologies like Fabric, Power BI and Microsoft 365 Copilot work with Snowflake enabling data estate unification, advanced analytics and innovative AI development. Join us for inspiration to unlock your data's potential with cutting-edge AI and cloud solutions. 

Discover how to leverage Snowflake's Storage Lifecycle Policies to automatically manage data archival and deletion based on custom rules. Learn to reduce storage costs by moving aging data to lower-cost tiers while maintaining accessibility for compliance reasons. This session covers policy creation, monitoring, and best practices with hands-on examples to help you implement effective data lifecycle management strategies.

Snowflake Native Apps revolutionize security by bringing app logic to the data, eliminating the need to move data elsewhere for processing. This ensures superior security and governance while keeping the data under the customer’s control. 

This session covers how Snowflake Native Apps deliver both security and advanced functionality, including the security sandbox, RBAC, App Specification, Restricted Caller’s Rights and controlled role grants.

Designed for developers, security teams and decision-makers, this deep dive offers key insights for building, reviewing, buying or maintaining Snowflake Native Apps. RBAC knowledge is helpful but not required.

In today’s fast-paced data landscape, businesses need real-time insights powered by transactional data. CDC streaming has emerged as a critical technology to ensure that operational databases seamlessly feed analytics and AI applications without disrupting core business operations. Join us in this session as we unveil Snowflake's new OLTP database CDC streaming connectors, purpose-built to bridge transactional data with Snowflake in real time.

Learn how to leverage build, test and deploy your work with Snowflake's latest developer tooling. Join us for new product and feature overviews, best practices and live demos.

Florida Cancer Specialists (FCS) has leveraged the breadth of Snowflake's Date Warehouse functionality to unlock siloed data to identify its most at-risk oncology patients. With a vision of developing patient cohorts and increasing care coordination, FCS teamed up with a market leader to incorporate hospitalization data. After implementing principal illness navigation (PIN) services, FCS saw a 40% reduction in ER visits for qualified, high-risk patients, which was shared at the White House.

Medtronic has a global implementation of Snowflake across multiple regions. This session will cover how Medtronic implemented role-based access controls, masking and row-access policies at scale for its finance and sales data products. Learn best practices for optimizing row-access policies at scale for thousands of users across use cases and business units with varying levels of security requirements.

Leveraging a digital twin of our physical network infrastructure, we’ve transformed our ability to identify network vulnerabilities, optimize equipment placement and plan for demand fluctuations. This enables network engineers to run complex what-if scenarios, proactively identifying bottlenecks and analyzing failure impacts while maintaining data within Snowflake. This eliminates data movement and reduces significant TCO while enabling unprecedented network analysis capabilities. Future opportunities have been identified around fraud and revenue assurance; see this press release - https://finance.yahoo.com/news/relationalai-knowledge-graph-coprocessor-generally-170000497.html

Since 2001, more than 120,000 veterans have tragically died by suicide. Face the Fight — a coalition founded by USAA, Reach Resilience and the Humana Foundation — is leveraging Snowflake’s advanced data engineering and AI capabilities to provide real-time risk insights for organizations serving veterans.

This AI-driven initiative enables rapid, life-saving interventions in minutes, helping prevent suicides and reduce risk. Learn how robust data architecture, advanced analytics and predictive AI applications are transforming healthcare, optimizing costs and improving outcomes for those who need it most.

Materialization is a powerful tool — but overuse can hurt performance, drive up costs and complicate pipelines. This session explores strategies that NBCUniversal uses to design high-performance data systems in Snowflake while minimizing unnecessary materialization. Learn query planning and execution fundamentals using a single physical table to power multiple virtual schemas, and learn how to build pipelines with nonmaterialized views and UDTFs. You’ll also learn practical criteria for deciding when materialization is necessary and how to efficiently materialize streaming data. Attendees will leave with actionable insights to keep their Snowflake implementations lean and fast.

Join us as Snowflake CEO Sridhar Ramaswamy delivers opening remarks.

Join us for an open and engaging conversation on the future of open source at Snowflake. Hosted in the GROUP BY Lounge, this session brings together Snowflake’s open source leaders — Russell, JB and Yufei — to share updates, perspectives and behind-the-scenes stories from projects such as Apache Iceberg, Streamlit and Polaris. Whether you’re a contributor, a curious developer or just someone who wants to know how open source fits into the Snowflake ecosystem, this is your chance to ask questions, get inspired and connect.

Coffee, community and candid insights — don’t miss it!

With amazing AI building blocks such as large models as well as AI-assisted coding, it is now possible to build prototypes and applications faster than ever before. Andrew shares some of the building blocks that are newly available, why this is a good time for everyone to build with AI and best practices for doing so.

NTT DOCOMO, Japan's top telecom provider, tackles the challenge of managing mobile network data. This session highlights our Data Mesh architecture built on Snowflake, showcasing Apache Iceberg's adoption to separate storage and compute for better performance and cost efficiency. We'll explore how Snowflake's Internal Marketplace enhances data sharing and governance, meeting stringent telecom security needs. Gain insights into building scalable platforms and managing telecom data effectively.

The semantic layer is essential, and it must be vendor-neutral and seamlessly integrate with your existing tech stack. Data modeling may be everything, broken or completely transformed by AI — perhaps all of these are true.

In this session, Pedram Navid, Head of DevRel + Marketing at Dagster Labs, and Colin Zima, CEO at Omni, will have a candid discussion about the state of the semantic layer — diving into what we should keep, what we should throw out, and what we should bet on for the future of data modeling.

 

We will present a flexible data processing and display framework that enables extracting any intelligent insight desired from our EHR using AI. The backend features a recomposable pipeline builder, allowing users to select patient populations, attach additional records, filter out irrelevant patients, and most importantly, achieve intelligent processing with AI. This system works in harmony with the front end, providing quick access to trustworthy, traceable, AI-generated insights.

Enterprise applications typically block sensitive topics like hate, violence or misinformation, but different departments may have unique policies — e.g., HR might allow finance queries, while IT doesn't. Without proper guardrails, AI applications risk responding to out-of-scope queries, leading to compliance issues. This session introduces a policy alignment framework for AI apps to enforce boundaries and prevent misuse. Learn how to implement app-specific policies seamlessly in Snowflake, using SPCS for containerized deployments, Model Registry for versioned policy enforcement, and compute pools for scaling and securing AI workloads.

Apache Iceberg unlocks the complex time travel requirements and intensive data validation needs that Affirm has as a financial company. Iceberg's write-once / read-anywhere paradigm simplifies Affirm’s governance by minimizing existing datasets — ensuring there is only ever one logical copy of a given dataset, complete with a validation history, and tag-based time travel watermarks. Join this talk to learn more about the way Affirm leverages Snowflake’s Open Catalog to power our Iceberg implementation, solving both operational and analytic challenges in the business.

The key to success in data-driven management lies in empowering data owners to autonomously build infrastructure. However, organizations often face bottlenecks due to complex infrastructure setup and access management. Through two and a half years of experience with Snowflake’s Terraform provider, we have achieved the delegation of authority to data owners while maintaining governance. We will share our practical approach that improved both stability and agility, along with key insights from our journey.

Transforming Snowflake data into an AI-enabled Knowledge Graph to analyze anonymized cross-channel media-to-patient journeys, enabling natural language exploration of pathway analytics, node clustering, and similarity algorithms. Leveraging RelationalAI's Snowflake native application, the solution introduces compliant Digital Twin simulation to reduce campaign planning costs. Moving beyond aggregate reporting to improve their annual media spend.

ServiceNow struggled with the challenge of managing fragmented data across multiple systems, inefficient processes and a costly legacy analytics system. But after adopting Snowflake, the security organization transformed how it collects, centralizes and leverages its data to drive smarter, faster decisions. This session offers practical guidance on using Snowflake to streamline operations, optimize costs and enhance decision-making. Join to learn how Snowflake can help transform your organization into a data-driven powerhouse.

Explore how Stanley Black & Decker is leveraging AI to turn data into decisions in minutes not days, embedding intelligence across operations to enhance agility, efficiency and decision-making.

Join Prakash Holalkere, Sr Director, Enterprise Architecture & Strategy, Data & AI at Stanley Black & Decker, and Paul Blankley, co-founder and CTO at Zenlytic, as they share their insights on how utilizing AI-driven insights and automation is accelerating innovation, optimizing its supply chain and improving customer experiences.

In this session we present TPC-DS benchmarking results on Iceberg tables with varying sizes of Parquet files, to help you optimize your lake house. We also show how we generate the files and analyzed the results.

Snowflake has transformed data storage and analysis, but as usage scales, teams struggle with performance, cost and efficiency. This talk explores how generative AI and reinforcement learning (RL) enhance Snowflake by automating warehouse optimization, improving observability and refining query performance. LLM-powered query rewriting reduces compute costs while making data more accessible. RL-driven systems dynamically scale resources, optimize queries and minimize waste. AI-driven observability provides deep insights to detect inefficiencies. Attendees will learn AI strategies to boost performance, visibility and value while reducing costs.

Hear from leading faculty from UC Berkeley and Carnegie Mellon about their vision for an agentic future informed by their journeys from fundamental research to widely used open source projects and innovative startups. Learn about the latest innovations with coding agents, data agents, agent safety and the interplay of reasoning models and agents. Hear also about their experiences working with developer communities through their online courses and open source projects. 

Learn how Snowflake is innovating to provide faster, easier-to-use warehouses with better price/performance. Join us for new product and feature overviews, best practices and live demos.

As a global leader in consumer health with iconic brands like Johnson’s Baby and Tylenol, Kenvue taps into Snowflake to fine-tune its media strategy. By integrating DMA-level media spend data and advanced machine learning models, Kenvue achieves an unprecedented level of data granularity. This enables more precise allocation of their media budget. The company has realized significant total cost of ownership (TCO) savings by reducing data processing costs and eliminating manual ETL processes through Snowflake data sharing. Moreover, the workload of data engineers has been reduced by 3x, allowing them to focus on advanced analytics and data-driven decision-making.

Discover how our Snowflake Native App leverages generative AI through Snowflake Cortex AI functions to intelligently optimize query performance. By addressing challenges such as inconsistent query quality, repeated execution on suboptimal warehouses and unnoticed query complexity, this solution empowers teams to streamline analytics workflows — no deep SQL expertise needed.

This session explores how AI-driven insights and automation, powered by Cortex AI and Snowflake Procedures, deliver real-world value. Learn how organizations are achieving greater efficiency, reducing costs and scaling data operations with intelligent, self-optimizing query experiences.

Short on time but eager to try Snowflake’s latest features? Join us for practical takeaways on building and managing your data pipelines in Snowflake without breaking a sweat. Learn how Coalesce’s data transformation platform makes it easy to build and automate data pipelines in minutes — no coding needed. You'll learn how to:

• Speed up data pipeline development by 10x with ready-made transformation templates
• Take advantage of Snowflake capabilities like Dynamic Tables, Streams & Tasks, and more
• Leverage AI by operationalizing the power of Snowflake Cortex
• Find and understand your data instantly with AI-powered data cataloging

Swiggy, India's top food and quick commerce platform, serves 680+ cities with 200k+ restaurants and a 500k+ delivery fleet, completing 3.5B+ orders. Powering personalized recommendations, route optimization and real-time decisions for 17M+ monthly users, Swiggy uses Snowflake as its data infrastructure backbone. Discover how they achieved 20% faster query performance for seamless peak demand handling, boosting customer experience and retention. Learn about their in-house text-to-SQL gen AI solution, Hermes, leveraging Snowflake to democratize data access for nontechnical users.

Dive deep into the Snowflake query lifecycle and master techniques to boost performance. Learn actionable insights to enhance workloads by pinpointing and resolving common bottlenecks using Snowflake’s latest features for peak efficiency. Apply practical tips for troubleshooting and optimizations while gaining a detailed understanding of Snowflake’s compiler and optimizer. The expert insights and best practices shared in this session will transform your query performance!

As data lakes grow, seamless access and strong governance are crucial. However, governance for Apache Iceberg to-date has often ended up fragmented, forming inconsistencies and complex integrations. Apache Polaris simplifies governance for multi-engine architectures with a unified access control layer that integrates with Apache Spark, Trino, Snowflake and more. Join this session to learn more about how Polaris makes this possible along with demos, updates and ways to join the community.

Learn how to unlock a true customer 360 by unifying disparate data into a single connected, customer profile with TransUnion’s native identity resolution on Snowflake. TransUnion enables businesses to gain deep insights, personalize marketing and enhance engagement on demand all while eliminating the movement of first-party data. Join us to see how leading companies are gaining deeper insights, personalizing their marketing and enhancing engagement to transform their business.

Data engineers often face the challenge of creating complex data transformation pipelines while balancing infrastructure overhead, debugging inefficiencies and cost control. Attendees will learn best practices for building scalable and cost-efficient data transformation pipelines with built-in telemetry enhancing monitoring and debugging capabilities. By leveraging automation and managed services in Snowflake, engineers can focus on delivering insights rather than maintaining infrastructure. Join us to discover how to simplify data pipeline management, optimize costs and improve reliability in modern data ecosystems.

Snowpark Container Services extends the Snowpark runtime in Snowflake to allow for flexible compute environments to serve a variety of use cases. This session will cover key strategies for securely deploying and scaling applications while ensuring seamless connectivity and performance. Additionally, we will explore CI/CD best practices to streamline application development, deployment and updates.

Swing by for an Ask Me Anything with Lukas Biewald, Founder of Weights & Biases and one of the leading voices in applied AI. From scaling ML teams to building tools for the frontier of AI development, Lukas brings sharp insights and honest takes. Bring your questions, ideas and curiosity — no slides, just real talk.

Lunch (TH)

Experience the 2025 Snowflake Startup Challenge Finale, held during Snowflake Dev Day 2025 in San Francisco. This annual competition draws hundreds of early-stage startups Powered by Snowflake, all vying to fuel AI innovation, gain global exposure and compete for up to $1 million in investments from Snowflake Ventures. Now in its fifth year, the Snowflake Startup Challenge — sponsored in partnership with the New York Stock Exchange — continues to spotlight and invest in the most innovative startups building on Snowflake. Join us as the top three finalists present their groundbreaking solutions to an expert panel of judges, leading to the exciting announcement of this year’s grand prize winner.