Enterprise AI is running into a familiar problem in the energy and manufacturing industries: the technology is moving faster than the organizations around it.

In this episode of The AI Forecast, Paul Muller sits down with Patrick Bangert, VP and Chief of AI at Occidental Petroleum, and author of “Leading Enterprise AI Programs: Optimize AI Teams for Value Creation,” to unpack the complexities of rolling out AI at enterprise scale in highly regulated industries with serious physical risks and 24/7 operations.

Together, Paul and Patrick take a closer look at:

How machine learning solves complex physical problems with predictive maintenance
Organizational change management when responses are emotional
Why reinventing organizational processes is key to AI success
The rise of shadow AI and startups as drivers of innovation
Why responsible AI and governance are essential for scaling safely
How to balance experimentation with long-term AI effectiveness

For leaders navigating enterprise AI in industrial settings, this episode offers a grounded, practical perspective on what separates hype from impact, and how to build an AI strategy that actually delivers.

Want to know more about the obstacles facing enterprise AI? Check out Ep 48 | Why Most Enterprise AI Projects Fail and How to Fix Them with Tom Harshbarger

Stay in touch with Patrick:
Patrick Bangert on LinkedIn: https://www.linkedin.com/in/patrick-bangert/

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Industrial Enterprise AI: The Missing Piece is Organizational