Future Proofing Asset Failures With Cognitive Predictive Maintenance

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The array of connected automotive industrial assets generate mass volumes of operational data. This data can be effectively tapped to map out potential risks using cognitive predictive maintenance which can convey this insight to automotive industrial asset experts. By applying machine learning to operational data generated by critical factory & automotive assets, OEMs can gain greater insights into these risk creating factors.

Your business needs the anchor of cognitive predictive maintenance as a source of greater asset management efficiency to fight against unplanned failures. Managing your automotive industrial assets using Cognitive Predictive Maintenance can significantly help augment your bottom line with a 50% reduction in maintenance overtime, 20% reduction in production downtime and 20% enhancement in labor productivity.

Watch our on-demand webinar featuring Vishwas Shankar, Research Manager, Frost and Sullivan and Sundeep Sanghavi, CoFounder and CEO, DataRPM to learn how manufacturers and suppliers can experience the power of Cognitive Predictive Maintenance (CPdM) to avoid unplanned downtimes and drive greater efficiencies.

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