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#93: Unpacking Digital Twins: Myths and Misconceptions
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In this episode of Stay Sharp in Digital Engineering, hosts Juliann Grant and Jonathan Scott are joined by David Ewing, Director of Mission Integration at SAIC and architect of the award-winning Ready One digital engineering platform. Together, they tackle the myths and misconceptions surrounding digital twins.
They explore the difference between digital models and true digital twins, the importance of having a physical counterpart, and why configuration management is crucial for maintaining a digital thread. Dave emphasizes that a digital twin isn’t just a model—it’s a living representation that evolves alongside its physical asset, incorporating real-time data and changes over time.
The conversation also covers:
- The nuances between terms like digital twin, digital shadow, surrogate, and virtual twin
- Why CAD models alone don’t qualify as digital twins
- How deviations in manufacturing and maintenance create one-of-a-kind digital twin instances
- Why robust configuration management and a traceable digital thread are essential
- Real-world applications in aerospace and defense, including mission-specific modeling and sensor feedback
- The growing role of AI in connecting systems, automating documentation, writing test cases, and refining models—and why human oversight is still essential
David also shares a few laughs with the hosts, poking fun at the overuse of buzzwords and “digital trophies,” and stressing the importance of context, scalability, and ethics in digital engineering.
Listeners will walk away with a clearer understanding of what a digital twin is (and isn’t), where AI fits in, and how to start building toward a truly connected, model-based future.
If you enjoyed this conversation, be sure to like this episode and subscribe to Stay Sharp on your favorite podcast platform or on YouTube. Got questions or feedback for the hosts? Drop a comment or email us at [email protected].
Until next time—stay sharp.
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