This session will focus on Predictive Analytics.
This virtual roundtable will be the second of a series of three events focused on the future of analytics specifically how it applies in the supply chain domain. In the roundtable, the focus will be on Predictive Analytics.
The roundtable will be a 2-hour session for sharing progress applying Predictive Analytics in the supply chain domain.
The last session in the series will focus on Prescriptive Analytics. This series represents a continuation of facilitated exchanges and roundtables exploring different aspects of Machine Learning and how it applies to the supply chain. In our last in-person SC Exchange roundtable on this topic, we explored the challenges of acquiring, preparing, and managing the right data as well as the work needed to turn data into the fuel that will run machine learning models effectively and efficiently.
Other earlier events penetrated the topic:
- Data Management: Preparing for Machine Learning (report) (October 15–16, 2019)
- Supply Chain Digital Transformation hosted by Dell (event description) (February 26–27, 2019)
- AI/Machine Learning in Supply Chain Planning: Current Applications, Future Possibilities (report) (November 27–28, 2018)
- Blockchain Applications in Supply Chain Management (report) (October 9–10, 2018)
Each session will start with a short briefing from an MIT researcher to level-set the topic, followed by a specific example highlighting the industrial application, and then a facilitated, open discussion between all roundtable attendees. Through these sessions, we intend to understand the current practice and challenges, as well as explore what may be expected for the future of analytics and automation.
Please note, CTL roundtables are open exclusively to Supply Chain Exchange members.