Create AI Agents with Live Context with SQL

AI agents are only as powerful as the data they can access - and most struggle with stale, fragmented, or slow systems. In this session, Sid Sawhney, Field Engineer at Materialize, will show how to use SQL to transform live data into operational tools that power truly intelligent, live AI agents.

Join us to learn how to:

Build live data layers that feed your agents with up-to-the-second context.
Use SQL views to define canonical business objects for fast, trustworthy access.
Reduce token and compute costs by keeping agents close to consistent, live data.
Create a foundation for agentic control loops that enable confident, autonomous action.

Whether you’re building internal AI copilots or production-grade autonomous systems, this talk will help you bridge the gap between your data and your agents.

Speaker: Sid Sawhney, Field Engineer at Materialize

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