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Every company is sitting on a mountain of data, but only a few know what to do with it. In this episode of AI in Action, Madison Faulkner talks with David Levy about turning data chaos into clarity. She explores how agentic AI depends on strong data management and data governance, and why unstructured data and big data only create value when they’re organized with purpose. In other words, the real competitive edge isn’t the AI itself; it’s the data behind it. Because in the end, intelligent systems are only as powerful as the data that trains them.

0:00 Intro

1:35 Madison Faulkner’s journey

2:40 The birth of data science

4:00 Bridging Silicon Valley hype with real-world industries

8:40 Structuring unstructured data for agentic AI

12:00 Automation, knowledge graphs and agentic sourcing

16:40 Tactical and organizational failures in data strategy

20:30 Data as code: The next wave of infrastructure

24:00 Rethinking data foundations for agentic AI

30:12 Turning data governance into a real business advantage

33:45 Final takeaways: Clarity over chaos in the AI era

The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

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