Jan,

AI workloads hit your lakehouse in parallel bursts, expect consistent schema on every call, and can't recover from stale caches. The pipelines built for batch jobs and dashboard refreshes weren't designed for that.

The engineers who define how their infrastructure handles these patterns will determine what their organizations can actually ship.

The Agentic Lakehouse manages itself so you can build forward instead of maintaining what's there. Here's the case for why sub-second response times aren't just a performance target (5 min read):

Autonomous Reflections and Agentic AI: Why Sub-Second Responses Matter in the Lakehouse

Alex Merced
Head of Developer Relations, Dremio