Today, predictive maintenance and the industrial Internet of Things (IoT) have become the number one investment priority for executives at asset-intensive companies. Despite this, a clear majority of organizations are struggling to reap actual benefits from these investments.
To learn more, watch our recent webinar, “Transforming Industrial IoT with Cognitive Anomaly Detection and Prediction.” In this session, Dr. Kirk D Borne, Chief Data Scientist at Booz Allen Hamilton, and Taj Darra, Data Scientist at Progress DataRPM, discuss the various applications of machine learning and predictive maintenance across different industries.
Webinar topics include:
Dr. Kirk D. Borne
Chief Data Scientist
Booz Allen Hamilton
DataRPM is an award-winning predictive analytics company focused on delivering the next generation predictive maintenance solutions for the Industrial IoT. DataRPM platform automates data science leveraging the next frontier in machine learning known as meta-learning, which is machine learning on machine learning. The platform increases prediction quality and accuracy by over 300% in 1/30th the time and resources delivering 30% in cost savings or revenue growth for business problems around predicting asset failures, reducing maintenance costs, optimizing inventory and resources, predicting quality issues, forecasting warranty and insurance claims and managing risks better.
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