Carlos A. EscobarCarlos A. Escobar is a recognized expert in industrial artificial intelligence with 15+ years of experience leading machine learning innovations across aerospace, automotive, and logistics. As a Sr. Machine Learning Principal Engineer at Howmet Aerosace, Carlos is pioneering the use of Generative AI, autoencoders, and diffusion models to drive zero-defect manufacturing. His work bridges research and real-world deployment, drawing on prior experience developing AI systems at Amazon for last-mile logistics and leading AI-driven process optimization at General Motors.Carlos also served as a Research Assistant at Harvard University, contributing to projects at the intersection of AI, education, and innovation. He is the author of the book Machine Learning in Manufacturing: Quality 4.0 and the Zero Defects Vision (Elsevier, 2024), and his second book, Alpha Sigma: Artificial Intelligence Manufacturing, is under development. He has delivered keynotes at Reuters Momentum AI, the American Society for Quality (ASQ), and the Society of Quality Assurance (SQA), and currently serves as an adjunct professor in Trine University's MS in Business Analytics program. Read More Read Less