When operating a factory, one of the major goals is tominimize issues, downtime, or anything else outside the status quo and ensuresmooth operation. However, this is easier said than done, as all machines requiremaintenance and must contend with unforeseen failures. Predictive maintenance isemerging as a powerful tool that leverages AI and machine learning to betterunderstand when and where maintenance is required to minimize downtime and preemptivelyhandle issues before they become catastrophic.In this episode, host Spencer Acain is joined by Dr. JamesLoche, Head of Research for Senseye Predictive Maintenance, to explore the uniqueapproach Senseye is taking to the problem of keeping factories running assmoothly as possible. In this episode you will learn:·        What is Senseye (2:40)·        Senseye as a decision support system (4:30)·        How AI brings flexibility and scalability topredictive maintenance (11:04)·        Monitoring operations vs. looking for failures(13:13)