Date: October 26, 2016
Time: 1:00 EST
Price: FREE

Webinar Playback

Navigant Research estimates that utility companies will spend almost $50 billion on asset management and grid monitoring technology by 2023. Today many organizations are facing budgetary challenges in order to increase reliability, uptime and safety within their facilities.

The industry is adapting to new technologies including utilization of advanced sensors and sensor fusion, edge devices, artificial intelligence, and machine learning to create the maintenance center of the future.
Bernie Cook, former Director of Maintenance and Diagnostics at Duke Energy and now VP of Woyshner Service consulting, will join us to provide practical guidance and examples of how utilities can begin adapting these next generation technologies within their facilities to drive significant reduction in maintenance costs.

Following Bernie, Stuart Gillen, Director of Business Development at SparkCognition, will give examples of how machine learning technologies are augmenting current practices that make maintenance engineers more efficient at predicting critical asset failure.

Join this webinar to learn about:

• Real examples of ways utilities are moving to more advanced monitoring and diagnostic capabilities and the technologies involved.
• How machine learning can improve equipment reliability and performance, and reduce operational and maintenance costs.
• How machine learning can augment or even supplement human subject matter experts by providing significant advance notice of asset performance issues.

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