2:00 PM PDT - Monday, Jun 1
Agentic ML in Action: Train, Deploy and Monitor Models with Snowflake CoCo, ML101
What if you could go from a blank notebook to a monitored production model using just natural language? Snowflake CoCo brings agentic AI to the Snowflake ML lifecycle by training models, engineering features with Snowflake Feature Store, registering and versioning models in Model Registry, deploying real-time inference endpoints on Snowpark Container Services, running batch predictions at scale with ML jobs, tracking experiments and more. In this session, we demo the full journey: explore data, train a model, build feature pipelines, deploy to a GPU endpoint and set up monitoring — all driven by an AI agent through conversation. See how agentic ML development collapses weeks of MLOps into minutes.
Leveraging AI-Powered Analytics to Manage the Guest Experience with Fogo de Chão, DE204
Fogo de Chão is an internationally renowned restaurant from Brazil that elevates the culinary art of churrasco into a cultural dining experience. Fogo offers a continuous selection of high-quality proteins carved tableside and access to a market table with a selection of seasonal salads, exotic fruit, superfoods and more. Managing guest satisfaction and operational excellence at scale requires more than intuition — it demands data. Fogo de Chão's partnership with Domo is a cornerstone of their data strategy, enabling real-time insights. Discover how Fogo de Chão leverages AI-powered analytics to manage reputation and drive operational efficiency to make smarter decisions every day.
3:00 PM PDT - Monday, Jun 1
Build Better Semantic Views Using Snowflake CoCo and Glean, AI213
This session shows how Glean, the Work AI platform, connects to Snowflake CoCo via MCP to bring enterprise context directly into Snowflake builders’ dev workflows. We cover the value of Glean and Snowflake for conversational analytics, then demo Glean’s integration with Snowflake CoCo using a finance schema spanning subscriptions, customers, invoices and MRR snapshots. We’ll show how a semantic view optimizer in Snowflake CoCo inspects DDL, searches finance SOPs and Slack via Glean, refines metrics such as active customers and churn, and then compares the original and optimized views in Snowflake Cortex Analyst.
11:00 AM PDT - Tuesday, Jun 2
Building Multiparty Intelligence with AI-Native Data Clean Rooms, DM211
The data you need lives in someone else's warehouse. This session provides the practical playbook for the fix. See how advertisers, publishers, healthcare networks and financial institutions are collaborating today: multiple parties, one neutral room, no exposed raw data. From setup to first result takes one business day, with partners already on Snowflake. We demo an overlap analysis with machine learning, then show how to get results out of the secure environment so you can actually use them, without leaving Snowflake's governance layer. No SQL required. Snowflake's agentic interface lets anyone configure a collaboration and run analysis in plain English.
The Future of HCLS: Modern Strategies for Interoperability and Agentic AI, IN228
Navigating the next wave of interoperability and AI disruption across healthcare and life sciences means organizations need to ensure they are starting with the right foundational strategy, prioritizing the right use cases and demonstrating tangible ROI. Join the healthcare and life sciences keynote at Summit 2026 to hear directly from industry innovators on how they are partnering with Snowflake to create the right strategy to tap into their multimodal data, accelerate interoperability, unlock enterprise AI and solve their most critical business challenges. We’ll discuss the latest Snowflake announcements and what they mean for the industry and show a live demo of Snowflake CoWork.
Under the Big Top: How Domo Drives Global Insights at Feld Entertainment, MI204
Feld Entertainment — home to Monster Jam, Disney on Ice, Ringling and Supercross — runs live events in 80 countries, all while navigating a global supply chain, multiple NetSuite implementations and decades of legacy complexity. In less than 12 months, the team deployed Snowflake and Domo as a unified data intelligence and activation layer to transform operations. See how the Feld team uses insights from data and AI to power global event logistics, analyze competition performance and guide financial decisions across its international subsidiaries.
12:00 PM PDT - Tuesday, Jun 2
Get More Done with OpenAI Agents Powered by Snowflake Data, AI133
What does it take to get more done with agents built on OpenAI and Snowflake? In this live demo, see Codex use governed Snowflake data to turn a customer signal into product action: analyze demand, spot a growth opportunity, plan the response, and build an app feature a team can preview, review and ship.
1:00 PM PDT - Tuesday, Jun 2
What’s New: AI-Powered Observability at Scale with Observe by Snowflake, WN201B
Snowflake is redefining observability with Observe by Snowflake, a lakehouse-native observability platform. Learn how organizations can scale cost-effectively to hundreds of terabytes of telemetry per day and share data across business and operational contexts using Apache Iceberg on a telemetry lakehouse foundation. We will demo AI SRE, an AI agent that accelerates enterprise reliability workflows, and show how teams can engage with it through the Observe UI or coding agents to boost engineering productivity.
How We Made Snowflake 10x Faster for Real-Time Interactive Analytics, BI222T
This session will cover Snowflake Interactive, including how we made it to be 10x higher in concurrency and 15x lower on ingestion latency. We'll provide ideal business use cases, a technical overview, a deep dive and a demo.
2:00 PM PDT - Tuesday, Jun 2
Your Marketing ROI in Under Eight Minutes: Powered by Snowflake CoWork, AI102
Marketing mix modeling used to mean months of agency work and eye-watering fees. Domo MMM, built on Snowflake CoWork and developed in partnership with Stella Growth Intelligence, compresses that timeline dramatically. This session walks through how we architected and delivered a production-ready MMM solution using Domo's 1,000 connectors, ETL, Snowflake integration and Snowflake CoWork, as well as built out the supporting Snowflake Native App fully integrated into Snowflake Cortex AI. Come and see how we can deliver true insights into your marketing spend quicker than this session will actually run!
3:00 PM PDT - Tuesday, Jun 2
AI Agents, Snowflake and Domo: Running a Product Team of One, AD207
In this session, we show how a single developer built a full production application by combining AI agents, Snowflake and Domo. Snowflake powers the intelligence layer — ML scoring, Cortex AI Functions and data pipelines — while Domo provides the application framework and user experience for the business. Using AI agents as engineering teammates, the project followed a structured development process with shaping, sprints and iteration to deliver a deal intelligence platform in just weeks. Learn the operating model, architecture and development pattern that enables developers to turn Snowflake data into real AI-powered business applications.
The Enterprise Context Layer: Atlan's Thesis, Workday's Proof in Production, AI264
Most enterprise AI projects stall before production — not because Snowflake CoWork or Cortex Agents aren't powerful, but because agents don't know which "revenue" definition to use, which tables to trust, or what the business actually means. The gap between pilot and production isn't a model problem. It's a context problem. Workday is closing it and they're here to show you how. Join Prukalpa Sankar of Atlan and Joe DosSantos, CDO at Workday, to learn what the Enterprise Context Layer is and why production AI needs it, how Workday's shared language — built for people — is now being leveraged for AI via Atlan's MCP, and what it takes to go from cool demo to AI trusted at scale.
Get More Done with OpenAI Agents Powered by Snowflake Data, AI133
What does it take to get more done with agents built on OpenAI and Snowflake? In this live demo, see Codex use governed Snowflake data to turn a customer signal into product action: analyze demand, spot a growth opportunity, plan the response, and build an app feature a team can preview, review and ship.
What’s New: AI-Powered Observability at Scale with Observe by Snowflake, WN201T
Snowflake is redefining observability with Observe by Snowflake, a lakehouse-native observability platform. Learn how organizations can scale cost-effectively to hundreds of terabytes of telemetry per day and share data across business and operational contexts using Apache Iceberg on a telemetry lakehouse foundation. We will demo AI SRE, an AI agent that accelerates enterprise reliability workflows, and show how teams can engage with it through the Observe UI or coding agents to boost engineering productivity.
11:00 AM PDT - Wednesday, Jun 3
Deploy, Version, Test and Manage Snowflake Openflow Connectors Using Snowflake CoCo, DE225
Join us to learn and see recommended ways for addressing DevOps requirements when it comes to Snowflake Openflow Connectors. A demo will show how it is possible to deploy an Snowflake Openflow Connector using a Snowflake CoCo agent, make changes in the connector based on specific business requirements, version control the changes, configure GitHub automated testing and automate deployment of the new version of the connector in a production environment. See the entire process from a flow problem statement, to development, all the way up to production using the Snowflake CoCo agent.
Intelligent Banker Meeting Prep — AI-Powered Client Intelligence on Snowflake, IN103
In today's competitive banking landscape, bankers spend up to 40% of their time preparing for client meetings — gathering portfolio data, reviewing interaction history and identifying opportunities. This demo showcases an AI-powered meeting preparation assistant built entirely on Snowflake, combining structured client data (accounts, loans, investments) with unstructured insights (news, documents) to generate intelligent, personalized briefings in seconds. Leveraging Cortex Agents, MCP tools, Cortex Search and Cortex Analyst, the solution demonstrates how banks can dramatically improve banker productivity, deepen client relationships and accelerate revenue — all within a secure, governed platform.
What's New: Smart Pipeline Development For AI-Ready Data [Demos], WN209T
In this 3-demo session, you'll see what modern, AI-ready data engineering looks like in practice. First, build a fraud detection model using Snowpark's DB-API (no ETL required), with vectorized UDFs for scale, optimized inference, and org-approved package management. Next, see how to run Apache Spark natively in Snowflake Notebooks, orchestrate pipelines with Snowflake CoCo, and visually author workflows using a new Pipeline Builder drag-and-connect interface. Finally, watch how to update an existing Dynamic Table with a Cortex AI Function and ship it to production using DCM Projects with no manual handoffs, no infrastructure overhead. You'll walk away with a clear picture of how Snowflake is accelerating pipeline development with smart workflows.
What's New: Agentic ML in Snowflake, WN214B
Learn how the latest agentic capabilities in Snowflake ML accelerate productivity for your ML teams. Join us for new feature overviews and a live demo showcasing our latest innovations.
12:00 PM PDT - Wednesday, Jun 3
Snowflake CoWork: Your Team's Most Complex 'Whys' at Your Fingertips, AI117
Snowflake CoWork has evolved from conversational Q&A to an end-to-end insights platform. This session unveils capabilities reshaping how enterprises consume data. See how we move beyond "what happened" to answer complex "why" questions with root cause analysis for actionable insights. Explore our new visualization experience: charts you can save, subscribe to and share, replacing static dashboards with a seamless conversational workflow. We'll demo high-IQ features including zero-shot forecasting, anomaly detection with proactive alerts and memory for personalized answers. Whether you're a business user or data team, discover how Snowflake CoWork is becoming the hub for enterprise intelligence.
1:00 PM PDT - Wednesday, Jun 3
From Tankers to Tickers: Spot Market Stress Earlier with Connected Data, DM209
Geopolitical disruption does not stay contained. It ripples through trade routes, commodity flows, supplier networks and market expectations, often creating signals before the full impact is obvious. In this session, we show how connected S&P Global data on Snowflake, queryable with AI, helps teams trace those effects from the physical world to financial markets more quickly. See how connected shipping and cargo data can reveal stress building across critical trade routes, and how supplier momentum can help anticipate downstream pressure on companies and markets. We also demo how Snowflake enables efficient processing of large supply chain data sets at scale.
2:00 PM PDT - Wednesday, Jun 3
What's New: Agentic ML in Snowflake, WN214T
Learn how the latest agentic capabilities in Snowflake ML accelerate productivity for your ML teams. Join us for new feature overviews and a live demo showcasing our latest innovations.
What’s New: Zero to a Trusted Semantic Layer in Snowflake, WN204B
Stop struggling with fragmented logic and start building a trusted data foundation in minutes. Join us to see how easy it is to create Snowflake Semantic Views that turn raw data into governed, actionable insights. We’ll demonstrate how our connected ecosystem allows your business logic to flow seamlessly from your data cloud to your AI agents and BI tools. This session also features a live demo of our latest "easy-to-build" semantic innovations.
3:00 PM PDT - Wednesday, Jun 3
20-Minute Threat Hunt: Building and Deploying a Cybersecurity Agent with Cortex, GO212
Stop building custom data pipelines for AI. Start solving threats in minutes. This session covers the end-to-end process to rapidly deploy a production-ready, investigative generative AI agent for cybersecurity using Snowflake CoWork: Unifying security logs (access, audit, vulns) Using Semantic Views to apply governance and context with Snowflake Horizon Catalog Configuring the agent with specialized tools like Cortex Analyst (for structured data queries) and Cortex Search (for unstructured threat intelligence) See a live demo of the agent performing a complex threat hunt, all running securely inside your security perimeter.
The Frontier of Agentic Enterprise: Founders, VCs and Snowflake, E10
AI agents are moving from demo to deployment — and the implications for enterprise leaders are massive. Hear directly from João Moura (CEO and Founder at CrewAI), Madison Faulkner (Partner at NEA Ventures and Head of Strategy at Factory.ai), Spiros Xanthos (CEO and Founder at Resolve.ai) and Anahita Tafvizi (Chief Data and AI Officer at Snowflake) on how they are enabling the era of the Agentic Enterprise through AI agents. Moderated by Chris Yeh (GP at Blitzscaling Ventures), this panel explores what it means to bring agentic AI to the Agentic Enterprise, why trusted data is the foundation agents need and how forward-thinking enterprises are already putting agents to work. A candid conversation at the frontier of enterprise AI.
This session is being conducted under Chatham House Rules. To foster an open and candid discussion, participants are expected to treat all information shared during the session as confidential. Information, comments, viewpoints, and materials discussed may not be referenced, disclosed, attributed, distributed, or shared outside of this session without the express permission of the organizers and participants.
4:00 PM PDT - Wednesday, Jun 3
What’s New: Zero to a Trusted Semantic Layer in Snowflake, WN204T
Stop struggling with fragmented logic and start building a trusted data foundation in minutes. Join us to see how easy it is to create Snowflake Semantic Views that turn raw data into governed, actionable insights. We’ll demonstrate how our connected ecosystem allows your business logic to flow seamlessly from your data cloud to your AI agents and BI tools. This session will feature a live demo of our latest easy-to-build semantic innovations.
10:00 AM PDT - Thursday, Jun 4
Agentic Coding for Data Teams: Claude Code, AI278
As frontier models grow more capable, value is shifting from single-call LLM features to true agents that choose tools, execute multi-step work and adapt as they go. Nowhere is this clearer than in coding. This session shows how Claude Code lets data teams delegate complex analysis while keeping humans in control. And see a live demo using the official Snowflake Snowflake CoCo plugin that turns natural-language intent into working data workflows in minutes.
1:00 PM PDT - Thursday, Jun 4
How We Made Snowflake 10x Faster for Real-Time Interactive Analytics, BI222B
This session will cover Snowflake Interactive, including how we made it to be 10x higher in concurrency and 15x lower on ingestion latency. We'll provide ideal business use cases, a technical overview, a deep dive and a demo.
What's New: Agentic ML in Snowflake, WN218B
Learn how the latest agentic capabilities in Snowflake ML accelerate productivity for your ML teams. Join us for new feature overviews, a live demo showcasing our latest innovations, and a fireside chat with ResolveAI on their Snowflake ML use case.