AI Program

Ben Amaba, Ph.D., PE., CPIM, LEED AP 
Global Chief Technology Officer (CTO), Data Science and AI Elite Team, IBM

Michael Testani, M.S. 
Director of Industrial Outreach, Binghamton University Engineering & Applied Science

How AI + ISE Can Blast Through Business Hurdles

  • Why learn from the experts gathered together with a professional organization and consortium to talk about the importance and impact of improved data analytics and the complement of machine learning and artificial intelligence to an enterprise?
  • What are the business outcomes as well as who and why are so many enterprises experimenting with AI technology to launch on a larger scale?
  • What are the three primary hurdles enterprises will be faced with to successfully implement data analytics and machine learning / artificial intelligence that is not fully recognized?
  • Explore to see how the priority, use cases and methodologies (both legacy and new) are converging industrial, systems, and software engineering methods to deal with the three primary hurdles.

Sreekanth Ramakrishnan Ph.D.
Senior Technical Staff & CX Program Director, IBM
Adjunct Faculty, San Jose State

Transforming Client (and Employee) Experience through AI and ML

  • How can AI and ML help organizations understand the relationship between employee experience and client experience?
  • What actionable insights can they provide to improve both employee and client experiences?
  • What are some data and privacy challenges that impede the development of these models and how can they be addressed without compromising privacy?

David Reid, P.E.
Senior Principal Team Leader - Production Design, Chick-fil-A, Inc

Expand Your Vision for How Connected Equipment can Drive Value for Your Business

  • Better Investment Decisions
  • Real Time Bottleneck Analysis and Line Balancing
  • Reducing Labor through App Based Ordering
  • Improving Quality and Reducing Waste through Vision Systems
  • Preventive Maintenance and Temperature Monitoring
  • Bringing OEE into the Internet Age

Marouane Kessentini, Ph.D.
Founding Director, Dearborn AI Research Center

Building AI that Can Build Software

  • How AI can help SE to build the next generation of intelligent software?
  • How SE can help AI to maintain high quality of predictive models including testing, data coverage and automated fault localization?
  • Illustration of successful real-world case studies about the use of AI in Software Engineering including documentation generation, intelligent software bots, and technical debt management.

Mike McMahon
Cloud, Artificial Intelligence and Data Science Specialist, IBM Industrial Market U.S.

Dale Mumper
Technical Specialist, Data Science & AI, IBM Industrial Market U.S.

Analyze Data to Make Better Decisions

  • How do you handle the data within your enterprise to turn it into valuable information?
  • How do you lead and govern analytics to make the best business decisions from your data?
  • Now that you have analyzed the data, how do derive real value from it?
  • Where are the places within your enterprise that you can use Artificial Intelligence?

Conrad Tucker, Ph.D.
Professor, Carnegie Mellon University

From AI Theory to Practice: Preparing the STEM Workforce for the 4th Industrial Revolution

  • “Carnegie Mellon has been a leader in Artificial Intelligence (AI) research since Herbert Simon and Allen Newell invented the field in the 1950s.”
  • AI needs Mechanical Engineering and other engineering disciplines in order to understand the physical constraints and phenomena that govern our universe (F=MA).
  • CMU is training the next generation of STEM researchers and practitioners who can operationalize AI across industry, government, and academia.
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