When Physics Meets AI: A Conversation with Dan Jeavons (Applied Computing)

In this episode of IT/OT Insider, Dan Jeavons, president of Applied Computing, shares his journey from the oil and gas industry to leading advancements in data science and AI. He discusses the evolution of technology in the energy sector, the challenges of IT/OT convergence, and the importance of digital twins. Dan emphasizes the need for change management in the industry and the role of cloud security in operational risks. He also explores the future of generalizing models for efficiency and the skills needed to adapt to these changes.

Find Dan on LinkedIn:   / dan-jeavons-a43b3b2  
Learn more about Applied Computing: https://appliedcomputing.com/
Learn everything about IT/OT Cooperation, Industrial DataOps and more: https://itot.academy
More about The IT/OT Insider: https://itotinsider.com/

Chapters
00:00 Introduction to Dan Jeavons and His Career Journey
06:27 Understanding the Upstream Oil and Gas World
11:16 Evolution of Data Science and Technology in Energy
15:24 The ITOT Convergence Discussion
20:48 Challenges in Digital Twin and Physical Modeling
23:08 The Evolution of Technology in Applied Computing
25:03 Challenges in Implementing Change
27:52 The Case for Change in Risk-Averse Environments
29:59 Trusting Cloud Technology for Critical Operations
34:32 Rethinking Security in the Age of AI
35:50 Developing Skills for Effective Implementation
36:26 The Shift to General Purpose Foundation Models
40:15 Integrating AI with Traditional Engineering Practices
46:29 The Future of Operations and Engineering