The Data Stack Wasn't Built for AI — Here's What Comes Next episode artwork

EPISODE · Jun 18, 2026 · 40 MIN

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

from The Data Exchange with Ben Lorica · host Ben Lorica

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: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.Detailed show notes and transcript, can be found on The Data Exchange web site.

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

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This episode was published on June 18, 2026.

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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...

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