Why Enterprise AI’s Biggest Opportunity Lies in Structured and Unstructured Data
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Why Enterprise AI’s Biggest Opportunity Lies in Structured and Unstructured Data
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About this listen
Enterprise AI isn’t failing because of the models.It’s failing because of data.
In this episode of the Alchemist Accelerator Influencer Series, Ravi Belani sits down with Sidney Rabsatt, Chief Product Officer at MindsDB and former AI and infrastructure leader at Google Cloud, AnyScale, and F5 Networks.
Sidney breaks down why connecting AI to enterprise data is far harder than most teams expect and where the real unlocks are hiding. From messy, fragmented data systems to the false promise of endless ETL projects, this conversation explores what it actually takes to get real value from AI inside organizations.
You’ll learn:
Why AI struggles when enterprise data is fragmented
The hidden cost of traditional ETL and data clean-up
How AI can work directly on messy data without years of prep
Where startups can find real opportunities at the AI + data layer
Why focusing on the use case matters more than the technology
If you’re building, deploying, or investing in enterprise AI, this episode will change how you think about data, workflows, and where real value is created.