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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