After the Lakehouse: Building Data Infra for the AI Era

The lakehouse architecture solved a real problem — but AI has rewritten the requirements. Latency, compute separation, vector workloads, real-time inference pipelines: the demands look nothing like they did five years ago. Three engineers who helped build the modern data stack join us to debate what's actually changing under the hood, what's being thrown out, and what the next five years look like for the teams who have to ship on top of it.