Reliability 4.0 podcast
Welcome to the Reliability.com Podcast with CEO Sebastian Traeger, exploring innovations, challenges, and experiences in maintenance and asset management. Tune in weekly for expert insights and tips to enhance operational excellence.
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This podcast is your premier destination to unravel how cutting-edge technologies like AI, IoT, and Big Data are revolutionizing the way we approach reliability and maintenance in various industries. Our host, the CEO of Reliability.com, Sebastian Traeger, uses his extensive experience to illuminate the most pressing topics in the reliability engineering field today. The Reliability 4.0 Podcast is here to keep you informed and inspired, bringing you insightful discussions, interviews with leading experts, and real-world case studies. Subscribe now to never miss an episode!
In this episode of Reliability 4.0, we speak with Allen Garcia, mechanical engineer at Baker Hughes and PhD candidate at the University of Maryland, where his research centers on AI applications in engineering. Allen shares how he transitioned from traditional mechanical design to AI-powered reliability tools, offering a rare perspective from someone bridging deep technical experience with cutting-edge machine learning. He explains how large language models (LLMs) are helping engineers process work order data, generate knowledge graphs, and accelerate time-consuming tasks like FMEAs and RCAs.We also explore the future of AI-driven maintenance—from dynamic RCAs that update in real-time to domain-specific models built just for reliability and maintenance professionals. Allen weighs in on EasyRCA’s current AI features, the challenge of accuracy in industrial models, and the opportunity to build smarter tools without replacing human insight. Whether you’re an engineer curious about AI or a data scientist entering reliability, this is a grounded and insightful look at where the field is headed.
