Dr. Elizabeth Cudney
QR Code
Bio:
Dr. Elizabeth Cudney is President of Cudney Consulting Group, LLC, and a Professor of Data Analytics in the John E. Simon School of Business at Maryville University. She received her B.S. in Industrial Engineering from North Carolina State University, Master of Engineering in Mechanical Engineering and MBA from the University of Hartford, and doctorate in Engineering Management from the University of Missouri–Rolla. Dr. Cudney has received the ASQ Grant Medal, ASQ Crosby Medal, IAQ Walter E. Masing Book Prize, IAQ Yoshio Kondo Academic Research Prize, ASQ A.V. Feigenbaum Medal, and SME Outstanding Young Manufacturing Engineering Award. She is an ASQ Fellow, IISE Fellow, ASEM Fellow, and Academician in the International Academy for Quality. She has published 15 books and over 140 journal papers. Dr. Cudney is a certified Lean Six Sigma Master Black Belt. She holds eight ASQ certifications, which include ASQ Certified Quality Engineer, Manager of Quality/Operational Excellence, and Certified Six Sigma Black Belt, amongst others.
Abstract:
Artificial Intelligence (AI) is reshaping the future of continuous improvement by enhancing how organizations analyze data, identify root causes, and predict outcomes. This webinar explores the emerging role of AI as a collaborative asset in Lean, Six Sigma, and other process optimization methodologies. Key developments in AI capabilities will be examined, including their application in tools such as value stream mapping (VSM), where AI can identify bottlenecks and recommend improvement opportunities. Ethical considerations surrounding AI integration and task automation will also be addressed to ensure responsible deployment. This session will demonstrate how AI can support innovation, reduce waste, and strengthen operational performance across industries through real-world examples and practical frameworks.