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LED Webinar - September 2025 - Lean-AI: A Humanistic Integration of Lean and AI
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When:
Sep 10, 2025 from 12:00 PM to 01:00 PM (CT)
Associated with
Lean Enterprise Division
Agenda
This presentation is based on the book ‘Lean-AI: A Humanistic Integration of Lean and AI’ by Dr. Adil Dalal and Dr. Beth Cudney. It explores the powerful integration of Lean methodologies with Artificial Intelligence (AI) to enhance operational excellence and transform organizational culture. The session will cover foundational Lean and AI concepts, the Shingo Model's role in the human side of Lean, practical methods for integrating AI into Lean tools, and an interactive value stream mapping exercise using the Lean-AI approach.
Lean is a time-tested methodology for continuous process improvement through waste reduction. With its automation, predictive capabilities, and real-time optimization, AI complements Lean by streamlining operations and fostering innovation. This integration creates a synergistic framework that significantly boosts productivity and agility.
Lean-AI represents the future of operational management and organizational development. Integrating Lean with AI improves efficiency, reduces waste, and empowers employees to focus on value-added tasks, fostering a culture of continuous improvement and innovation. Understanding this synergy equips organizations to respond swiftly to market changes, enhance decision-making accuracy, and sustain growth.
Learning Objectives/Takeaways:
1. Understand Lean and AI integration: Gain foundational knowledge of Lean methodologies and AI technologies and their combined impact on operational excellence.
2. Applying AI to Lean Tools: Discover how AI can enhance traditional Lean tools through specific examples and case studies.
Dr. Adil Dalal is a globally valued C-Suite leader with a 20+ experience, stands as a dynamic and visionary force in the realm of culture and organizational transformations. He has left an indelible mark on individuals and numerous Fortune 500 businesses across 25 industries on 5 continents.
Dr. Elizabeth Cudney is 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, a Masters in Mechanical Engineering and an MBA from the University of Hartford, and a doctorate in Engineering Management from the University of Missouri–Rolla.
More information
Location
Online Instructions:
Url:
http://asq.webex.com/weblink/register/r37695334b36f7983c6fb7b80b36179ec
Login:
Download to Your Calendar
Contact
Manny Veloso
2159837653
mannyvelosombb@gmail.com
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