Get your data AI ready with dbt and Snowflake
đ Global friendly sessions on May 27 & 28
AI is only as good as the data powering it. Most organizations have plenty of data, but data without context, structure, and shared meaning isn't something AI can work with reliably.
In this session, you'll learn how dbt and Snowflake work together to close that gap by embedding rich business context into your data. When you build semantic models in dbt, you're doing more than transforming tables. You're creating documented business logic, shared definitions, and data quality signals that reflect how your organization actually operates. That's the context AI needs to be useful.
This semantic layer feeds directly into agentic and AI-driven applications, including Snowflake Intelligence. The result: more accurate responses, fewer hallucinations, and natural language querying your whole organization can trust.
If you're responsible for data transformation, preparing your platform for AI adoption, or scaling analytics, this session will show you what it takes to make your data AI-ready and how dbt and Snowflake get you there.