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AI and Supply Chain Analytics in Smart Manufacturing Workshop

NCSA’s Center for Artificial Intelligence Innovation is collaborating with IBM to host a virtual hands on workshop, AI and Supply Chain Analytics in Smart Manufacturing, March 16-17, 2021 10am-1pm(CT) both days.

Registration Link:
**Workshop link will be sent prior to workshop

Many CEOs, COO’s, 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.


March 16, 2021
10:00 AM – 10:15 AM:
WebEx Registration
10:15 AM – 10:30 AM: Welcome – Opening Remarks
10:30 AM – 11:00 AM: Introduction of the Workshop – AI & Supply Chain Analytics
Logistics of the workshop
Cloud Pak for Data Platform Overview & Architecture
AI & Supply Chain Analytics
11:00 AM – 1:00P PM: Hands-on workshop with breakout sessions

March 17, 2021
10:00 AM – 12:00 PM: Continue hands-on workshop with breakout sessions
12:00 PM – 12:30PM: Smart Scheduling System with Machine Learning Capabilities
12:30 PM – 1:00 PM: Data-Driven Models for Condition Monitoring and Prognostic Analysis of Complex Systems
1:00 PM: Q&A and Closing

IBM and NCSA Speakers

Dale Mumper
Data Science and AI Technical Specialist, IBM
Mike McMahon
Data and AI Technical Specialist, IBM
Jesse Slater
Data Scientist – IBM Cloud
Eliu Huerta
Director, NCSA Center for AI Innovation, NCSA-UIUC
Volodymyr Kindratenko
co-Director, NCSA Center for AI Innovation, NCSA – UIUC