Monetizing Industrial IoT and Predictive Maintenance for the Automotive Industry

Presented by

Simon Ball, Hortonworks; Abhishek Tandon, DataRPM

About this talk

Gartner predicts there will be 250 million connected vehicles by 2020. While automotive manufacturers are on track to drive connected vehicles implementation, are they poised to leverage the trillion-dollar opportunity from the gold-mine that is “sensor data”? Research from Morgan Stanley suggests, automotive manufacturers can save $488 billion by using predictive maintenance. By assessing in advance which equipment needs maintenance, automotive manufacturers can better plan maintenance work and smoothly convert the abrupt "unplanned outages" into shorter and fewer "planned outages" and spend lesser time in damage control as equipment issues are detected even before they actually occur. The result? Lower operational costs, increased machine lifetime and asset performance. Join this webinar to learn how automotive manufacturers can: · Transform connected vehicles into a revenue generating programme · Reduce costs with equipment insights from engineering data · Decrease downtime probabilities & boost production quality, safety and efficiencies · Automate data science workflow with meta-learning enabling you to dramatically reduce the manual data science effort · Learn how a leading automotive achieved 10% increase in operational efficiency with automated predictive maintenance

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