In this episode, Tristan Handy sits down with Chang She — a co-creator of Pandas and now CEO of LanceDB — to explore the convergence of analytics and AI engineering. The team at LanceDB is rebuilding the data lake from the ground up with AI as a first principle, starting with a new AI-native file format called Lance. Tristan traces Chang's journey as one of the original contributors to the pandas library to building a new infrastructure layer for AI-native data. Learn why vector databases alone aren't enough, why agents require new architecture, and how LanceDB is building a AI lakehouse for the future. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.
talk-data.com
Speaker
Chang She
1
talks
CEO / Co-founder
LanceDB
Chang She is the CEO and cofounder of LanceDB, the developer-friendly, open-source database for multi-modal AI. A serial entrepreneur, Chang has been building DS/ML tooling for nearly two decades and is one of the original contributors to the pandas library. Prior to founding LanceDB, Chang was VP of Engineering at TubiTV, where he focused on personalized recommendations and ML experimentation.
Bio from: PyData Berlin 2025
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