The Agent Era: How AI Agents Are Reshaping Data Platforms
Session Abstract
AI agents have quietly become some of the most demanding users of modern data platforms and most weren’t built with them in mind. In this panel, leaders from Snowflake, Elastic, MotherDuck, and Xata share what agentic workloads actually look like in production: what broke, what had to be rebuilt, and where the architecture is heading.
Session Description
Autonomous AI agents are becoming first-class users of data infrastructure and most data platforms weren’t designed for them. This panel brings together engineers from Snowflake, Elastic, MotherDuck, and Xata to have an honest conversation about what that collision looks like in practice.
Each platform brings a different angle: cloud-scale warehousing, search and observability, real-time analytics, and Postgres. They’ll explore what it concretely means to make a data platform agent-ready, from query reliability to access control to the performance characteristics that agentic loops require.
