Build, Buy or Wait, Navigating the AI Implementation Stack
Is your company ready to build its own AI solution?
In this episode of Stay Sharp in Digital Engineering, hosts Juliann Grant and Jonathan Scott welcome back Dr. Diego Tamburini — executive consultant and AI practice lead at CIMdata — for a deep dive into what it actually takes to move from AI experimentation to production-ready deployment in manufacturing and engineering organizations.
Diego brings 25+ years of experience across PLM, CAD/CAM, digital manufacturing, and AI strategy, with past roles at Microsoft, Autodesk, and Siemens Digital Industry Software. In this episode, he cuts through the noise to give you a practical, honest look at the AI build-vs-buy landscape.
What You'll Learn:
- The difference between AI workflows and true agentic AI — and why conflating the two leads to bad decisions
- The full spectrum of AI implementation options: from fully embedded vendor tools to building from scratch in Python
- When it makes sense to use low-code/no-code platforms (like Microsoft Copilot Studio or Amazon Bedrock) vs. full custom development
- Why subject matter experts — not just developers — are becoming the key builders of AI agents
- How the digital thread concept is getting new life in the AI era and why it matters for cross-system reasoning
- The "make, buy, or wait" framework for prioritizing AI initiatives wisely
- The traceability and privilege elevation challenges that regulated industries must address in agentic AI
- What skill sets organizations actually need at each level of AI implementation
Guest: Dr. Diego Tamburini Executive Consultant, AI Practice Lead at CIMdata, Former Director of Engineering Agility at Microsoft, Former Design & Manufacturing Strategist at Autodesk
Connect with Diego for AI strategy consulting through CIMdata
Related Episode - Give it a Listen!
#125 : Strategic Patterns for Implementing AI in Manufacturing
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