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

A collaboration between DAIR/University of Michigan-Dearborn and IBM

October 1st & 2nd, 2020

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

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Overview

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 DAIR Technical Leaders

Dr. Ben  Amaba

CTO, Artificial Intelligence & Data Sciences

Industrial and Engineering Sector, IBM

Shuchita  Gupta

Executive Data & AI Architect & Technical Leader

Industrial Sector, IBM

Mike  McMahon

AI & Data Science Technical Lead

Industrial Sector, IBM

Dale  Mumper

Data Science & Visualization Technical Specialist

Industrial Sector, IBM

Jesse  Slater

Data Scientist

IBM Cloud, IBM

Dr. Marouane  Kessentini

Associate Professor and DAIR Founding Executive Director

DAIR, University of Michigan, Dearborn

Dr. Abdallah  Chehade

Assistant Professor and DAIR Lead PI for Smart Manufacturing and Industry 4.0

DAIR, University of Michigan, Dearborn

Registration

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

Registration for the workshop has been closed because we have reached the maximum number of registrations for the event.

Thank you for your interest!

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