Tom Linton

Everyone's talking about context layers. Nobody agrees on what one is — a semantic layer with a better name? A knowledge graph in a trench coat? AI is moving from pilot to production — and it made data teams into janitors: cleaning up hallucinations, debugging agents. But the context agents need most is what data teams already own. The definitions, the lineage, the institutional knowledge. That's not a cost center. It's your most strategic AI asset. You already have Databricks — maybe Unity Catalog too. But your agents still 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. Join Prukalpa Sankar and Varun Banka to see it live: dark Databricks tables become AI-ready — automated lineage mapped, AI-bootstrapped definitions added, Context Quality Score green — and a Genie query returns a governed response via MCP. All live. All on stage.

Everyone's talking about context layers. Nobody agrees on what one is: A semantic layer with a better name? A knowledge graph in a trench coat? AI made data teams into janitors, cleaning up hallucinations and debugging agents. But the context agents need most is what data teams already own: The definitions. The lineage. The governance. The institutional knowledge. That's not a cost center; it's your most strategic asset. Join Prukalpa Sankar and Varun Banka to learn how the four levels of context map the gap. Then watch live as a dark Snowflake database becomes AI ready, with automated lineage, AI-bootstrapped definitions, a green Context Quality Score and a governed Cortex Agent response via MCP.

Everyone's talking about context layers. Nobody agrees on what one is — a semantic layer with a better name? A knowledge graph? What AI agents need is already in your data team. The definitions. The lineage. The governance. That's the bridge from pilot to production. Join Atlan to learn what the Enterprise Context Layer is and why production AI depends on it. Then, watch a live demo — a context layer that's tested, trusted, and ready to deploy.