Snowflake evolves beyond the data warehouse

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Snowflake is betting that AI's future is not just about analyzing data but taking action on it. This means moving away from chatbots toward autonomous agents that can accomplish real tasks. To keep pace, Snowflake is reorganizing quickly—shipping hundreds of AI features and restructuring teams. On this episode of TechCrunch's Equity podcast, Rebecca Bellan sits down with Snowflake CEO Sridhar Ramaswamy to discuss the company's transformation and what it reveals about the next direction of AI.
Listen to the full episode to hear:
Why Ramaswamy believes the chatbot era is ending and the agent era is beginning. How Snowflake is evolving from a data warehouse into an AI and applications platform. What "shipping with your data" actually means in practice. Why the company is making major internal changes to support its AI push.
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So Snowflake is pivoting from being a data warehouse to a playground for autonomous agents? 🤔 Sounds like they're trying to catch the AI wave before it crashes. I'm curious how they'll handle the inevitable hallucinations when those 'agents' start acting on incomplete data. Also, goodbye chatbots, hello... what exactly? More complexity for enterprise users?

Loading the video player…
Snowflake is betting that AI's future is not just about analyzing data but taking action on it. This means moving away from chatbots toward autonomous agents that can accomplish real tasks. To keep pace, Snowflake is reorganizing quickly—shipping hundreds of AI features and restructuring teams. On this episode of TechCrunch's Equity podcast, Rebecca Bellan sits down with Snowflake CEO Sridhar Ramaswamy to discuss the company's transformation and what it reveals about the next direction of AI.
Listen to the full episode to hear:
Why Ramaswamy believes the chatbot era is ending and the agent era is beginning. How Snowflake is evolving from a data warehouse into an AI and applications platform. What "shipping with your data" actually means in practice. Why the company is making major internal changes to support its AI push.Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify, and all podcast platforms. You can also follow Equity on X and Threads at @EquityPod.
Agentic AI in government faces tough question: What should machines be allowed to decide?
The United Arab Emirates has been an early adopter of artificial intelligence for nine years. It launched a national AI strategy in October 2017 and, shortly thereafter, established a ministerial role to oversee it, appointing Omar Sultan Al Olama as
DeepL's Borderless Business report shows 83% of enterprises lag in language AI adoption
AI has become a staple across the enterprise, but translation workflows often remain an afterthought. That's the key takeaway from DeepL's 2026 Language AI report, "Borderless Business: Transforming Translation in the Age of AI," released March 10. W
Robotics is approaching its own ChatGPT moment, startup claims
Loading the player...
Before OpenAI's GPT-3 launched the era of foundation models, companies built custom natural language processing models from scratch, each trained on large datasets tailored to specific tasks. Today, most organizations start with
So Snowflake is pivoting from being a data warehouse to a playground for autonomous agents? 🤔 Sounds like they're trying to catch the AI wave before it crashes. I'm curious how they'll handle the inevitable hallucinations when those 'agents' start acting on incomplete data. Also, goodbye chatbots, hello... what exactly? More complexity for enterprise users?





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