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AI in the oilfield sounds powerful, but can the industry trust it?
Recorded at the 2026 Baker Hughes Annual Meeting in Florence, IT Crowd Podcast hosts Josh Lowrey and Richard Rodriguez sit down with Jim “James” Brady, Chief Digital Officer for Baker Hughes’ Oilfield Services & Equipment segment.
Brady explains how digitalization is moving the industry from siloed data to collaborative, recommendation-driven decisions, and why trust, transparency, and domain expertise are essential to scale AI in energy.
They also discuss tools like Lucida, optimizing production under real-world constraints, and how AI can act as a human capital extender in an industry facing talent shortages.
00:00 Live From Florence
01:33 Meet Jim Brady
03:37 Digital As Language
06:32 Breaking Data Silos
09:43 From Data To Recommendations
12:29 Efficiency And Transition
14:44 Trust And Pilots
17:36 Scaling Beyond Proof
20:18 Regional Adoption Differences
24:48 AI as Career Extender
26:32 Oil and Gas AI History
27:16 GenAI Unlocks Data
30:15 Measured AI Adoption
33:34 Hybrid Physics Plus AI
35:06 Reskilling and Code Gen
38:42 Avoiding Shiny Tech
43:11 Bold Energy Prediction
45:42 Conference Takeaways
46:40 AI for Safety Gains
49:04 Final Wrap and Thanks
By Upright DigitalAI in the oilfield sounds powerful, but can the industry trust it?
Recorded at the 2026 Baker Hughes Annual Meeting in Florence, IT Crowd Podcast hosts Josh Lowrey and Richard Rodriguez sit down with Jim “James” Brady, Chief Digital Officer for Baker Hughes’ Oilfield Services & Equipment segment.
Brady explains how digitalization is moving the industry from siloed data to collaborative, recommendation-driven decisions, and why trust, transparency, and domain expertise are essential to scale AI in energy.
They also discuss tools like Lucida, optimizing production under real-world constraints, and how AI can act as a human capital extender in an industry facing talent shortages.
00:00 Live From Florence
01:33 Meet Jim Brady
03:37 Digital As Language
06:32 Breaking Data Silos
09:43 From Data To Recommendations
12:29 Efficiency And Transition
14:44 Trust And Pilots
17:36 Scaling Beyond Proof
20:18 Regional Adoption Differences
24:48 AI as Career Extender
26:32 Oil and Gas AI History
27:16 GenAI Unlocks Data
30:15 Measured AI Adoption
33:34 Hybrid Physics Plus AI
35:06 Reskilling and Code Gen
38:42 Avoiding Shiny Tech
43:11 Bold Energy Prediction
45:42 Conference Takeaways
46:40 AI for Safety Gains
49:04 Final Wrap and Thanks