Standardizing Business Logic for AI: Why Your Data Stack Needs a Semantic Model

About this event

Elizabeth Christensen, a developer advocate on Snowflake’s Postgres and Open Source team, will explain why AI is only as reliable as the business definitions behind it.

When “revenue,” “active customer,” or “churn” mean something different in every dashboard, warehouse, and application, people can reconcile the differences by hand. AI agents can’t, and they’ll confidently give you inconsistent answers. Elizabeth will make the case for a unified semantic model: one governed place where metrics, relationships, and business rules are defined once and reused by every BI tool, application, and AI agent in your stack.

A Lawrence, Kansas native, Elizabeth serves on the board of the United States PostgreSQL Association, hosts the online Postgres Meetup for All, and co-hosts PostGIS Day. She’s known for making databases approachable, and she’ll bring that to a topic that is quickly becoming a prerequisite for trustworthy AI.

From Data Science KC