AI is everywhere right now—but in digital engineering and manufacturing, many leaders are still asking the same question: where does it actually help?
In this episode of Stay Sharp in Digital Engineering, hosts Juliann Grant and Jonathan Scott sit down with Dr. Diego Tamburini of CIMdata to separate hype from implementation reality. With decades of experience spanning Microsoft, Autodesk, and Siemens Digital Industries, Diego shares how organizations are applying AI today—not in theory, but inside real engineering and manufacturing environments.
The discussion introduces five practical patterns of AI adoption, explains why many proof-of-concepts fail to scale, and explores emerging applications like AI-assisted workflows, predictive models, and natural-language interaction with engineering systems. Most importantly, the conversation reframes AI not as a technology trend, but as a decision framework leaders must apply carefully to solve the right problems.
Key Takeaways
👤 Guest Information
Dr. Diego Tamburini
Executive Consultant, CIMdata
Leads the company’s AI practice, helping industrial organizations apply AI to digital engineering and manufacturing transformation.
Former Director of Engineering Agility at Microsoft, where he helped integrate AI into engineering workflows and marketplace platforms.
Previously held leadership and strategy roles at Autodesk and Siemens Digital Industries Software, with more than 25 years of experience in CAD, CAM, CAE, and PLM innovation.
👉 Connect with Dr. Tamburini to learn more about practical AI adoption in industrial environments.
If this episode helped clarify how AI fits into engineering and manufacturing:
Music is considered “royalty-free” and discovered on Story Blocks.
Technical Podcast Support by Jon Keur at Wayfare Recording Co.
© 2024 Razorleaf Corp. All Rights Reserved.
