IISE Artificial Intelligence Symposium 2020 - March 31 in Atlanta


7 - 8 a.m.

Registration, Refreshments & Networking

8 - 8:20 a.m.

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.

8:20 - 9:10 a.m.

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?

9:10 - 9:30 a.m.


9:30 - 11:30 a.m.

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

11:30 a.m. - 12:30 p.m.


12:30 - 1:20 p.m.

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.

1:20 - 2:10 p.m.

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?

2:10 - 2:20 p.m.


2:20 - 3:10 p.m.

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. 

3:10 - 3:50 p.m.

Panel of Selected Speakers

3:50 - 4 p.m.

Concluding Remarks
Ben Amaba and Michael Testani

4 - 5 p.m.

IBM AI Subject Matter Experts Available for Q&A