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Home » Snowflake transition from storing data to shipping with data
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Snowflake transition from storing data to shipping with data

Editor-In-ChiefBy Editor-In-ChiefApril 8, 2026No Comments1 Min Read
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Snowflake is betting that the future of AI is not just analyzing data, but acting on it. This means moving from chatbots to autonomous agents that can actually get the job done. And Snowflake is rapidly reorganizing in response, from shipping hundreds of AI features to rebuilding its team along the way.

In this episode of TechCrunch’s Equity podcast, Rebecca Bellan speaks with Snowflake CEO Sridhar Ramaswamy to unpack the company’s transformation and what it suggests about where AI is headed next.

Listen to the full episode and hear what’s next.

Why Ramaswamy believes the age of chatbots is over and the age of agents is beginning. How Snowflake is evolving from a data warehouse to an AI and application platform. What does “shipping together with data” actually mean? Why the company is making major internal changes to support its AI push.

Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify, and all casts. You can also follow Equity on ⁠⁠ X⁠⁠ and ⁠⁠ Threads⁠⁠ at @EquityPod.



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