Abstract:

In this session, Mr. Sterbenz demystifies how Artificial Intelligence (AI) works and offers practical guidance for using AI tools effectively in quality and problem-solving environments. Attendees will see real examples of AI strengths and weaknesses, including surprising gaps revealed through technical and data-driven queries. Through an engaging case study, he illustrates how AI can accelerate analysis while still falling short without expert oversight. The presentation ultimately highlights why human insight, engineering knowledge, and critical thinking remain indispensable—even as AI becomes more capable and widely adopted.

About our Speaker:  Scott Sterbenz is a recently retired Master Black Belt at Ford Motor Company, using Six Sigma methods to solve quality and customer satisfaction issues.  Scott is also a Technical Adviser for the United States Bowling Congress, bowling's governing body.  There, he helps develop test plans and analysis methods to set specifications for bowling equipment and conducting ground-breaking research.  A Professional Engineer, Scott holds a bachelor's and master's degree in Mechanical Engineering from Wayne State University in Detroit—valedictorian in both programs.  For over twenty years, Scott has taught high school and college level mathematics to middle school students as part of the MathCOUNTS competition series.  An avid mountain biker, Scott cycles nationwide for multiple charities.  He is also an accomplished bowler, with thirteen certified 300 games and a high certified three-game series of 853.