Featured Presentation: Is AI and Data Science the Future of Lean Six Sigma?

Tuesday, Sept. 24

Magnolia Ballroom - 3rd Floor

Artificial intelligence (AI) is “a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks; such as “problem-solving” and “learning” through flexible adaptation. Lean Six Sigma (LSS) is a methodology used to solve complicated problems with data analytics that seek to correlate a problem and its many possible causes. AI can accelerate a LSS project in a number of profound and novel ways. For sure, AI can help a Green Belt or Black Belt to unravel and interpret the complex relationships between the independent and dependent variables within a process.

Further, the use of Natural Language Process (NLP) provides deeper insights into the voice of customer and voice of business assessments allowing LSS practitioners and their businesses to gain even greater insights from what was traditionally underutilized unstructured data. In the very near future, the role of the LSS Green Belt and Black Belt will merge with that of the data scientist, the result of which will be healthier businesses with happier customers. The purpose of this presentation is to discuss how AI, Big Data, and Analytics are transforming LSS projects and manufacturing as a whole.

Ben Amaba

Ben AmabaBen Amaba holds a Ph.D. degree in industrial & systems engineering, a M.B.A./M.S. degree in engineering and operations, and a B.S. degree in electrical engineering. Dr. Amaba is a registered and licensed professional engineer in several states with international registry; certified in production, operations and inventory management by APICS®; LEED® Accredited Professional (Leadership in Energy & Environmental Design); and certified in corporate strategy by Massachusetts Institute of Technology in Cambridge, Massachusetts. He is responsible for industrial manufacturing, infrastructure, engineering and supply chain solutions.

Dr. Amaba is the chief innovation officer for the industrial sector – North America for the IBM Watson and Cloud Division. Dr. Amaba’s focus and interest is in artificial intelligence, data sciences, robotic process automation (RPA), software engineering, Internet of Things (IoT), blockchain and cloud technology.

Michael Testani

Michael TestaniMichael Testani is the director of industrial outreach and continuing professional education at Binghamton University’s Thomas J. Watson School of Engineering and Applied Sciences. In this role, he directs the strategic partnership for Industrial Resurgence (SPIR) program. SPIR is a New York state-sponsored program that aligns engineering students and faculty with small and startup businesses to help them overcome technical challenges to enable their economic success and growth. SPIR is offered by Binghamton University, Stony Brook and Buffalo to provide the New York state-based businesses with the technical support they need to achieve their business strategies.

Testani is an adjunct professor for the Thomas J. Watson School of Engineering and Applied Science at Binghamton University where he teaches a systems design class for the System Science and Industrial Engineering department. He has more than 30 years of industry experience that include his recent role as a transformation and learning consultant for IBM Corp., along with holding several leadership and executive positions with other successful small, medium and startup companies. Testani is a certified Lean Six Sigma Master Black Belt, lean master, agile champion and design thinking coach.