Make your data AI ready with dbt and Snowflake
đ Global friendly sessions March 3rd, 4th, & 5th
AI is only as powerful as the meaning behind your data. While modern platforms excel at storing and processing information, itâs metadata and semantics that transform raw data into something AI can truly understand, trust, and act on.
In this session, weâll explore how dbt and Snowflake work together to create an AI-ready data foundation by embedding rich business context directly into your data. When you build semantic models in dbt, youâre not just transforming tables, youâre generating the most valuable form of metadata available: documented business logic, data quality signals, and shared definitions that reflect how your organisation actually operates.
This semantic layer becomes a critical input for agentic and AI-driven applications, including Snowflake Intelligence. By grounding AI in trusted, well-modelled data, organizations can deliver more accurate and precise responses, dramatically reduce hallucinations, and confidently enable use cases like natural language querying across the enterprise.
Whether youâre leading data transformation, scaling analytics, or preparing your platform for AI adoption, this session will show how dbt and Snowflake help turn data into a strategy.
Luis Leon
Partner Solutions Architect
dbt Labs
Michael Taylor
Senior Manager, Applied Field Engineering, AI/ML
Snowflake