AI & Supply Chain Analytics in Smart Manufacturing (hands-on) WORKSHOP

A collaboration between Oakland University and IBM

February 3 & 4, 2022

Workshop: 10 am to 1 pm CT (both days)



Many CEOs, CTOs, and other decision-makers are seeing an advantage from the rise of big data and faster computing power. The question arises: How can all this great data drive innovation?  Being able to harness the power of data through data science can help to accelerate financial, sales, manufacturing, and supply-chain operations; enable a better, more intimate customer experience; or reduce downtime.

Enterprises are facing challenges accurately forecasting demand and shipping costs in their supply chain. Inaccurate forecasting can lead to widespread disruptions. By leveraging the latest developments in both time series forecasting and decision optimization, enterprises can better harness the power of their own data and use scalable methods to generate forecasts and plan logistics for a large portfolio of products quickly and more effectively. Predictive and preventative models can be applied to mitigate downtime, offset losses, and enable safer working environments.

AI and machine learning also can help drive better, faster products to market. For example, when launching a new product or service, it can be imperative to use data analytics to gain insight into market, demand, and target demographics. In this two-days workshop, attendees will be leveraging a cloud-based analytics platform to execute several labs. Included activities will be accessing and curating data, using automated AI modeling tools, working with supply chain decision optimization systems, and more advanced modeling capabilities.

IBM and OU Technical Leaders

Jeffrey A. Baetz

Global Industry CTO

Industrial Market for Data, AI, ML and Data Science Elite

Dr. Ben  Amaba

CTO, Artificial Intelligence & Data Sciences

Industrial and Engineering Sector, IBM

Shuchita  Gupta

Executive Data & AI Architect & Technical Leader

Industrial Sector, IBM

Dale  Mumper

Data Science & Visualization Technical Specialist

Industrial Sector, IBM

Mike  McMahon

AI & Data Science Technical Lead

Industrial Sector, IBM

Dr. Marouane Kessentini

Professor and PPI-Michigan Center Director

Computer Science and Engineering, Oakland University

Dr. Weng-Keen Wong

Professor and PPI-Oregon Center Director

Computer Science, Oregon State University

Dr. Wing-Yue Geoffrey Louie

Assistant Professor

Electrical and Computer Engineering, Oakland University

Dr. Nasim Nezamoddini

Assistant Professor

Industrial Systems and Engineering, Oakland University

Dr. Ali Ahmad

Assistant Professor

Industrial Systems and Engineering, Oakland University


At the conclusion of the course, the participants will receive a certificate of completion for four professional development hours by IBM and OUAI.

Register for the workshop.


Workshop Call