Robin Yeman
Robin Yeman has spent twenty-six years working at Lockheed Martin as a senior technical fellow building large systems including everything from submarines to satellites. Robin lead the Agile community of practice supporting a workforce of 120,000 people. Her initial experience with Lean practices began in the late 90’s. In 2002 shen had the opportunity to lead her first Agile program with multiple scrum teams. After she had a couple months of experience, she was hooked and never turned back. She both led and supported Agile Transformations for intelligence, federal, department of defense organizations over the next two decades and each one was more exciting and challenging than the last. In 2012 she had the opportunity to extend our Agile practices into DevOps which added extensive automation and tightened our feedback loops providing even larger results. Currently she is consulting for a range of Fortune 500 companies in highly regulated environments enabling them to achieve the same results we experienced at Lockheed Martin. She engages in everything from automotive, pharmaceuticals, and energy reimagining legacy to modern solutions using all of the tools in my toolbox including Agile, DevOps, Lean, Digital Engineering, Systems Theory, Design Thinking and more. Her goal is to make a positive impact for those around her. Robin is a continuous learner. Her education includes a Bachelor's Degree from Syracuse Univision in Computer Information Systems, a Master's degree from Rensselaer Polytechnic Institute in Software Engineering, and she is currently pursuing a PhD in Systems Engineering at Colorado State University, where she is working on my contribution to demonstrate empirical data of the benefits of implementing Agile and DevOps for safety critical cyber-physical systems.
Check out her latest book: https://www.amazon.ca/Industrial-DevOps-Better-Systems-Faster/dp/195050879X
Session
As industries accelerate their digital transformation, the convergence of Industrial DevOps and Generative AI is reshaping how complex, safety-critical, and cyber-physical systems are built, tested, and delivered. Industrial DevOps, grounded in 9 key principles that enable the rapid and secure development of systems across domains such as aerospace, defense, energy, and manufacturing. The advent of Generative AI introduces unprecedented capabilities in automating documentation, generating system models, code synthesis, test case generation, and anomaly detection. This paper explores how Generative AI amplifies the impact of Industrial DevOps by reducing cognitive load, accelerating feedback cycles, and enabling dynamic collaboration across traditionally siloed engineering functions. We present real-world use cases and emerging patterns that illustrate how the synergy between Generative AI and Industrial DevOps supports faster delivery, improved resilience, and increased innovation in regulated environments.