What is really slowing down enterprise AI? According to Pradnesh Patil, Founder and CEO of Ultimate AI, the answer is not always the model. It is the data work behind it. In this episode of Data Unchained, host Molly Presley talks with Pradnesh Patil about the pressure facing modern data teams as AI adoption accelerates. They discuss why data engineers are buried in pipeline backlogs, how token costs can spiral out of control, and why enterprises need more open, vendor-agnostic ways to manage AI-driven data work. Pradnesh explains how AI agents can help with data pipeline creation, infrastructure optimization, governance, context management, and the painful migration projects most teams try to avoid. He also breaks down why walled-garden AI tools can limit flexibility, why context graphs matter, and how enterprises can reduce cost without sacrificing control.
Data Orchestration For Dummies
Learn how to:
- Unlock and monetize your data
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- Liberate from data silos