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.