Session

Stop the Metrics Madness: How a Semantic Layer Tames AI and BI

Why does the "Active Customer" count differ between your executive dashboard and your data scientist's notebook?

As we move into the era of AI Agents, the need for a Semantic Layer is critical. This session explains how to define business metrics (YTD Revenue, Churn, etc.) once in a YAML-based model so that both AI assistants (like Snowflake Cortex) and BI tools (like Tableau or PowerBI) speak the same language.

We will explore the architecture of "Semantic Views" and how to use verified queries to ensure AI doesn't hallucinate when answering business questions.

Julie Heckman

Snowflake | Senior Solution Engineer

Kansas City, Missouri, United States

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