Case Study: Predict Asset Failure and Reduce Unscheduled Downtime
Now available for on demand viewing.
Cost: Free to attend.
Duration: Approximately one hour.
Presented by: Kim Custeau, Director of Global Asset Management, Schneider Electric

The amount of data driven by the Industrial Internet of Things is providing asset-intensive industries with the information needed to operate more efficiently and safely. The market is shifting to a holistic and operations-centric view where proactive and predictive maintenance opportunities empower front-line personnel to act before costly failures or downtime occur.                    

Join us for a webinar to learn how predictive analytics can help companies improve asset reliability, availability and performance. The webinar will feature sample customer success stories, including savings of $7 million in a single early warning catch! Also on the webinar, we will hear from Schneider Electric on how to maximize economic return on assets with a fully integrated and comprehensive Enterprise Asset Performance Management platform.

Presented by:
Kim Custeau Director of Global Asset Management Schneider Electric   Kim-Custeau-120x160
Sponsored by:
Schneider Electric :

Schneider Electric is the global specialist in energy management and automation. With revenues of ~€27 billion in FY2015, our 160,000+ employees serve customers in over 100 countries,  helping them to manage their energy and process in ways that are safe, reliable, efficient and sustainable. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Our connected technologies will reshape industries, transform cities and enrich lives.

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