AI for Founders with Ryan Estes The $1.5 Trillion AI Problem Nobody Talks About - Until Now
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Nov 30, 2025 
David Carmell, founder of DataRocket, transforms legacy data into clean, AI-ready datasets. He delves into the staggering $1.5 trillion problem that hinders enterprise AI adoption, discussing the seamless data onboarding process and the importance of automated cleanup. Carmell highlights the necessity of proving data cleanliness for successful AI outcomes and offers insights on selling the need for data modernization to cautious executives. With innovative pricing that shares savings, his approach empowers businesses to unlock AI's full potential.
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Clean Data Is The Real AI Fuel
- Data is just data until it's clean enough for AI to use reliably.
- David Carmell argues cleaning legacy and unstructured data is the core barrier to enterprise AI success.
Origin Story Born From A Conference Question
- After a conference, major vendors asked why large firms weren't buying more AI solutions from them.
- That question inspired David Carmell to found DataRocket to solve legacy-to-cloud data plumbing.
One Pool Of Clean Data
- Treat legacy mainframes, unstructured cloud data, and LLM output as one ocean that should be unified.
- Solving integration across these sources unlocks faster, cheaper AI adoption at enterprise scale.