Duke Energy Presentation
Using Predictive Analytics to Improve Reliability
Winner of the Business Value Award at the 2017 Software Innovation Summit, Duke Energy's Monitoring & Diagnostics (M&D) team was recognized for their implementation of Predictive Asset Analytics. Their project enabled them to predict multiple equipment failures before the occurred, including a single catch that alone helped avoid $30+ million in costs, had the problem gone undetected.
Presented by Duke Energy's Ed Abbott, the 30 minute presentation shares the details behind the 2017 Catch of the Year within the context of their 10+ year journey in using Predictive Asset Analytics.