Panel Discussion: Machine Learning for Predictive Maintenance and Optimization

June 18, 1:30pm - 2:15pm

General Session

Jing Xiao

Director, Robotics Engineering Program
Deans' Excellence Professor and William B. Smith Distinguished Fellow in Robotics, Worcestor Polytechnic Institute

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This session discusses how the Industrial Internet of Things (IIOT), big data analysis, and dynamic case management can help devices become proactive participants in their own maintenance. Points to be discussed:

  • The pros and cons of supervised vs. unsupervised learning.
  • Techniques for reducing downtime by using predictive analysis.
  • Utilizing forecasting tools effectively to make accurate predictions.
  • Examples of successful applications of machine learning.

Additional speakers TBD.