How We Can Leverage Digital Twins and AI for Next Generation Model-Based Systems Engineering
from Amelia's Weekly Fish Fry Hosted by EEJournal.com
In this week's podcast, I explore the evolution of model-based systems engineering with Becky Petteys from MathWorks. We chat about how high-fidelity digital twins help teams catch issues early, the growing importance of data science in modern design, and the practical ways AI is transforming MBSE workflows today.
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Chapters
- 0:00 Intro & Episode Overview
- 1:25 Guest Introduction: Becky Pettis (MathWorks)
- 1:44 Limits of Document-Based Systems Engineering
- 4:34 High-Fidelity Digital Twins and Early Issue Detection
- 7:05 Where MBSE Is Adopting Fastest & Technical Pressures
- 9:58 AI in Model-Based Systems Engineering
- 12:30 Role of Data Science in Managing Complexity
- 13:13 Why Experience-Based Methods Break Down
- 16:05 Technical & Organizational Challenges Adopting MBSE
- 18:03 Benefits of Combining MBSE with AI & Data Science
- 19:31 Off-the-Cuff: Becky’s Favorite Meal Story
- 20:42 Closing, Resources & Social Links
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This episode is 22 minutes long.
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This episode was published on June 19, 2026.
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