The Data Stack Wasn't Built for AI - Here's What Comes Next

Episode notes

Ben Lorica talks with Chang She , co-founder and CEO of LanceDB , about the limitations of traditional analytical data tools like Pandas and Parquet when applied to AI workloads. They discuss the rise of the “multimodal lakehouse,” the unique data storage and retrieval challenges introduced by AI agents, and how LanceDB provides both lightweight embedded memory and massive-scale infrastructure.

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