Atlan + Snowflake: Building AI Agents That Know Your Business
See how Atlan and Snowflake work together to give AI agents the business context behind every answer. Curate trusted context in Atlan, activate it natively in Snowflake, and watch agents get sharper.
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About this Session
Ask an agent a business question that spans systems and without shared definitions, lineage, and governance, it can only answer from what it can see. Governed context across the estate is what keeps answers consistent as questions cross from Snowflake into the CRM, the BI tool, and the rest of the business.
Atlan and Snowflake close that gap together. Atlan is where teams build and govern that context: definitions people agree on, lineage back to source, named owners, quality signals. Snowflake Cortex Sense activates it on Snowflake data, so Cortex agents answer from it.
In this session you'll see both sides. Abhinav Vadrevu, the Snowflake PM building Cortex Sense, walks through what it does and how to set it up. We'll show how a context repo gets built and governed in Atlan, and what happens when a Cortex Sense answer traces back to it.
What you'll see
01
A first look at Snowflake Cortex Sense
Hear directly from the team building Cortex Sense: what it is, how brings context to your Snowflake AI agents, and how it speeds up agent development.
02
Curating trusted context in Atlan
How teams build and govern business context, definitions, lineage, ownership, and quality, in one place across the whole enterprise estate.
03
Putting that context to work in Snowflake
How context from Atlan reaches your Snowflake AI agents through Cortex Sense so they answer with the business's own meaning, right where teams already work.
04
Curate context once, use it as your AI stack grows
Build and govern context once in Atlan, and reuse it across every new agent you adopt, with no rebuilding as your AI stack evolves.
The only proven way to create context
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