From Labs to Production for Industrial IoT
Despite a growing adoption of the Industrial Internet of Things, many businesses are still losing billions to unplanned asset downtime and equipment failures. Cognitive anomaly detection and prediction can help IIoT companies address this issue. To learn more, watch top machine learning and IoT influencer Ronald van Loon and Progress DataRPM Vice President of Product Ruban Phukan explore the topic.
Future Proofing Asset Failures With Cognitive Predictive Maintenance
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.