AI, Data Engineering, and the Modern Data Stack

In this episode of AI + a16z, dbt Labs (getdbt.com) founder and CEO Tristan Handy sits down with a16z's Jennifer Li and Matt Bornstein to explore the next chapter of data engineering — from the rise (and plateau) (roundup.getdbt.com/p/is-the-modern-data-stack-…) of the modern data stack (a16z.com/emerging-architectures-for-modern-dat…) to the growing role of AI in analytics and data engineering. As they sum up the impact of AI on data workflows: The interesting question here is human-in-the-loop versus human-not-in-the-loop. AI isn’t about replacing analysts — it’s about enabling self-service across the company. But without a human to verify the result, that’s a very scary thing.
Among other specific topics, they also discuss how automation and tooling like SQL compilers are reshaping how engineers work with data; dbt's new Fusion Engine (getdbt.com/product/fusion) and what it means for developer workflows; and what to make of the spate of recent data-industry acquisitions and ambitious product launches.
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Tristan Handy (x.com/jthandy)
Jennifer Li (x.com/JenniferHli)
Matt Bornstein (x.com/BornsteinMatt)

Check out everything a16z is doing with artificial intelligence here (a16z.com/ai), including articles, projects, and more podcasts.

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