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Webinar: Monetizing IIoT with Cognitive Anomaly Detection and Prediction

On-demand Webinar

The Industrial Internet of Things (IIoT) presents a huge opportunity for businesses, and it’s only getting bigger. Gartner predicts that by 2020, the number of IIoT-powered devices will reach 20.8 billion and they’ll be producing trillions of gigabytes of data. Cognitive anomaly detection and prediction can help businesses monetize this wealth of data and drive meaningful change throughout their operations.

View this on-demand webinar which features Michael Ger, General Manager of Industrial Manufacturing and Automotive Solutions at Hortonworks, and Ruban Phukan, Co-Founder and Chief Product Officer of Progress DataRPM, as they discuss how companies can monetize IIoT investments with cognitive anomaly detection and prediction..

By viewing this webinar, you will learn how:

  • Industrial IoT presents a paradigm shift in data management
  • Data lakes are a key ingredient for successful IoT initiatives
  • Cognitive anomaly detection and prediction is enabling the new age of collaborative field operations by making safe working environments that are still highly efficient and productive
  • Customers can easily integrate Hortonworks HDP Platform and Progress DataRPM to detect anomalies at scale to monetize IIoT investments


Michael Ger

Michael Ger

General Manager, Industrial Manufacturing and Automotive Solutions

Ruban Phukan

Ruban Phukan

Co-Founder and Chief Product Officer
Progress DataRPM

About DataRPM

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.

Industry Recognitions and Awards

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