The Data Stack Wasn't Built for AI — Here's What Comes Next
About this episode
Ben Lorica discusses the limitations of traditional analytical data tools for AI workloads with Chang She, co-founder and CEO of LanceDB.
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. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe:...
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