Make your data AI ready with dbt and Snowflake

Date: March 3rd

Time: 10:00am GMT

AI is only as powerful as the meaning behind your data. While modern platforms excel at storing and processing information, it’s metadata and semantics that transform raw data into something AI can truly understand, trust, and act on.

In this session, we’ll 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, you’re not just transforming tables, you’re 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 you’re 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 strategic AI asset, not just another input.