Enterprise AI is running into a familiar problem within energy and manufacturing industries: the technology is moving faster than the organization around it. *Is your enterprise AI strategy stuck?* In this deep dive, Patrick Bangert (VP & chief of AI at Oxy) reveals why most programs fail: they ignore the "messy data basement." From the "plumber problem" to the "bigger idiot hypothesis" in startups, we’re unpacking the hard truths of scaling AI in high-stakes industries like energy and manufacturing. *Learn how to align people, purpose, and process for 2026. Watch the full video here:* https://www.youtube.com/watch?v=zrrK114Eu2o *Key topics:* - Predictive maintenance for industrial AI - AI change management & emotional resistance - Proof of competence vs. proof of concept (POC) *Want to know more about the obstacles facing enterprise AI?* Check out Episode 48 | https://www.youtube.com/watch?v=gHybo8iVgkc&list=PLe-h9HrA9qfAmGHgsmXUZgLL-T4Xjhlq8&index=21 Subscribe to stay ahead of the curve with the latest in data strategy, open architectures, and enterprise AI innovations. https://www.cloudera.com #EnterpriseAI #DataStrategy #TheAIForecast #ResponsibleAI #Cloudera #NASA #AI #Tech #Shorts #podcast

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