The ACM chapter at GSU presents
The Intelligent Supply Chain, Pragmatic Machine Learning, and Autonomous MLOps
Senior Director, R&D/Science
The Intelligent Supply Chain is a data-driven, highly-automated, digitally-empowered supply chain that connects people and systems with processes and assets through the use of emergent and intelligent technologies to help manage and optimize operations and costs within the speed and complexity of today's rapidly evolving, highly interconnected, modern supply chains. In this session I'll provide an overview of these concepts and how AI, ML, and optimization play a critical and necessary role in achieving the goals of this new paradigm. But, before we start guzzling the AI/ML Kool-Aid too quickly, I'll first share how there's plenty to consider and vet out before go-ing "all in" with such solution complexity - you must ensure that you take a very pragmatic systems engineering approach to its enablement, all the way from inception to production. I'll then close with how we approach productizing AI/ML-empowered solutions here at Manhattan Associates.
About the Speaker: Jeff Beadle is the head of the Science Group within Manhattan Associates' R&D organization. This group focuses on the research and development of the "math & science" that goes into Manhattan's supply chain solutions, things like: operations research, mathematical modeling and optimization, algorithms, heuristics/metaheuristics, data science, and AI and ML. Mr. Beadle is a seasoned computational, algorithmic, opera-tions research and data scientist with more than 25 years of researching and innovating solutions to complex optimization and analytical problems within applied sciences and the supply chain industry.
Win a valuable door prize!
An Amazon Echo Dot will be given away.
Thursday, October 13, 2022
1:00 p.m.-2:00 p.m.
Room 464, Student Center West
Free pizza and beverages!
For more information about the ACM chapter at GSU, please visit our website: acm.cs.gsu.edu<https://nam11.safelinks.protection.outlook.com/?url=http%3A%2F%2Facm.cs.gsu.edu%2F&data=05%7C01%7Cjhayes14%40gsu.edu%7C4bae091700f24d472a1a08daacd8dd80%7C515ad73d8d5e4169895c9789dc742a70%7C0%7C0%7C638012344726292552%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=MOSi9UJQ2L0L88vJBYKM1y9ZPjEO%2Bosjg4iUR%2B4fTqQ%3D&reserved=0>.