--- title: "Join Atlan at Snowflake Summit 2026" url: "https://atlan.com/event/snowflake-summit/" description: "See the open context layer that gives your AI agents business knowledge at Snowflake Summit 2026. Live demos, Workday sessions, and 1:1 consultations at booth #1612. June 1-4, San Francisco." keywords: "snowflake summit 2026, atlan snowflake summit, context layer, enterprise AI, booth 1612" --- > Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/ Atlan's page for Snowflake Summit 2026: meet the open context layer behind production-ready AI agents. Watch live demos, join Workday sessions, or meet Atlan at booth #1612. Dates and times are as listed on the page. - **Dates:** June 1-4, 2026 - **Venue:** Moscone Center, San Francisco - **Booth:** #1612 - **Book a meeting:** [https://atlan.com/snowflake-meeting/](https://atlan.com/snowflake-meeting/) ## Spotlight sessions (Workday) - **The Enterprise Context Layer: Atlan's Thesis, Workday's Proof in Production** - June 2, 3:00-3:45 PM PT. Joe DosSantos, VP, Enterprise Data & Analytics, Workday. - **Context Layer in Practice: How Workday Builds Trustworthy AI Agents** - June 3, 12:30-12:50 PM PT. Jon Chen, Director, Enterprise AI Solutions, Workday. ## See the Context Layer in action Atlan's open context layer sits between your business systems, including Snowflake, and every AI agent you build, from custom agents to Snowflake Cortex. The page diagram has three tiers: - **Interfaces and agents:** custom agents (Salesforce Agentforce, Snowflake, AI assistants), vertical agents (Decagon, Sierra, Writer), general-purpose agents (Anthropic Claude, OpenAI), tools (Slack, Microsoft Teams, Jira). - **Enterprise Context Layer (open and portable context, organized in context repos):** - **AI-Ready Data** - the integrated, trusted, and AI-ready representation of an enterprise's data and knowledge assets. See [Connectors](https://atlan.com/connectors/) and [Data Lineage](https://atlan.com/data-lineage/). - **Semantics and Ontology** - the map of the business: its entities, metrics, and relationships. See [Context Agents](https://atlan.com/context-agents/). - **Agent Skills** - reusable, versioned, testable units of procedural knowledge. See [Context Engineering Studio](https://atlan.com/context-engineering-studio/). - **Business systems:** systems of record (Salesforce, SAP, HubSpot), systems of semantics (Looker, Microsoft Power BI, Tableau), systems of data (Snowflake, Databricks, Google BigQuery, Google Cloud), systems of knowledge (Confluence, Microsoft SharePoint, Google Drive). ## Featured sessions Production stories from the teams running AI agents at scale. ### WTF is the Enterprise Context Layer - Demystified and Demo'd June 1, 4:00-4:45 PM PT / Room 210 (Moscone South, Level 2). Speaker: Prukalpa Sankar, Co-Founder, Atlan. Everyone's talking about context layers and nobody agrees on what one is. The context agents need most is what data teams already own: the definitions, the lineage, the governance, the institutional knowledge. Learn how the 4 Levels of Context map the gap, then watch live as a dark Snowflake database becomes AI-ready: automated lineage, AI-bootstrapped definitions, Context Quality Score green, and an accurate Cortex Agent response via MCP. [RSVP](https://reg.snowflake.com/flow/snowflake/summit26/sessions/page/catalog/session/1768236980271001yuYN) ### The Enterprise Context Layer: Atlan's Thesis, Workday's Proof in Production June 2, 3:00-3:45 PM PT / Room 210 (Moscone South, Level 2). Speakers: Joe DosSantos, VP, Enterprise Data & Analytics, Workday; Prukalpa Sankar, Co-Founder, Atlan. Most enterprise AI projects stall before production because agents don't know which "revenue" definition to use, which tables to trust, or what the business actually means: a context problem, not a model problem. Learn what the Enterprise Context Layer is and why production AI needs it, how Workday's shared language, built for people, is now used for AI via Atlan's MCP, and what it takes to go from cool demo to AI trusted at scale. [RSVP](https://reg.snowflake.com/flow/snowflake/summit26/sessions/page/catalog/session/1768236980513001y0h3) ### Context Layer in Practice: How Workday Builds Trustworthy AI Agents June 3, 12:30-12:50 PM PT / Vertical Village Theater 2 (Basecamp, South Hall B). Speakers: Jon Chen, Director, Enterprise AI Solutions, Workday; Austin Kronz, Head of AI and Data Strategy, Atlan. Workday manages HR, finance, and payroll for 60 million workers; at that scale, agents that answer confidently with the wrong data are a production risk. Learn how Workday structures context across meaning, ownership, and usage for production agents, how they build agents that surface uncertainty rather than paper over it, and how this runs on Snowflake Cortex with Atlan's Context Engineering Studio. [RSVP](https://reg.snowflake.com/flow/snowflake/summit26/sessions/page/catalog/session/1768236981007001yQGd) ### Context Layer? Semantic Layer? Ontology? Knowledge Graph? A Spicy Debate June 2, 1:00-1:20 PM PT / Vertical Village Theater 2 (Basecamp, South Hall B). Speakers: Cindi Howson, Chief Data & AI Strategy Officer, ThoughtSpot; Jessica Talisman, Founder, Ontology Pipeline; Atlan. Context layer, semantic layer, ontology, knowledge graph, context graph, GraphRAG: different things, buzzwords, or different approaches to making AI understand your business? Industry experts who disagree with each other debate for 20 minutes. No slides, no consensus; a chance to understand where these terms diverge and whether any of them matter for your AI strategy. [RSVP](https://reg.snowflake.com/flow/snowflake/summit26/sessions/page/catalog/session/1768236980755001yby6) ## Speakers - **Joe DosSantos**, VP, Enterprise Data & Analytics, Workday - what it takes to bring the enterprise context layer (shared definitions, lineage, and governance AI needs) from concept to production, including the architecture and team decisions most companies are still guessing at. - **Jon Chen**, Director, Enterprise AI Solutions, Workday - MIDAS, Workday's internal talk-to-data agent, and the context model covering meaning, ownership, and usage that lets their agents surface uncertainty rather than answer confidently with the wrong data. - **Cindi Howson**, Chief Data & AI Strategy Officer, ThoughtSpot - former Lead Author for the BI Gartner MQ; hosts The Data Chief podcast. - **Jessica Talisman**, Founder, Contextually and Ontology Pipeline - Semantic Engineer and Information Architect with over 25 years developing taxonomies, ontologies, and knowledge graphs. ## Beyond the booth - **Courtside at the Chase Center** (private event) - June 2, 5:30 PM PT. Atlan's private, invitation-only Courtside Lounge at Chase Center with curated dining, a private bar, and reserved seats as the Golden State Valkyries tip off the Commissioner's Cup. [Details](https://atlan.com/event/snowflake-summit/courtside-with-atlan/) - **AI After Dark - Hosted by Slalom** (open to all) - June 1, evening. An evening party for data and AI leaders with Atlan leadership. [RSVP](https://go.slalom.com/ai-after-dark-atlan) - **Context in Motion** (open to all) - June 2, 6:30-8:30 AM PT. A casual morning walk in San Francisco for data and AI leaders; registration is a form on the page. ## At booth #1612 See demos of Atlan, chat with an intelligence engineer, or walk through how Workday is shipping production AI. - **Live interactive demos:** how Context Agents and Context Engineering Studio make AI reliable. - **1:1 expert consultations:** bring your architecture to discuss your context gaps and plan forward. - **Customer use case walkthroughs:** how Workday built a context layer on their Snowflake estate.