From Labs to Production
for Industrial IoT

On-demand Webinar

Despite growing adoption of the Industrial Internet of Things, many businesses are still losing billions to unplanned asset downtime and equipment failures.

The issue is that many industrial enterprises simply aren’t making the most of their IIoT initiatives. They need tools to help them connect their objectives with their data and analytics framework to maximize efficiency, minimize downtime and reduce operational risk.

Cognitive anomaly detection and prediction can help IIoT companies address this issue. To learn more, view top machine learning and IoT influencer Ronald van Loon and Progress DataRPM Vice President of Product Ruban Phukan for an on-demand webinar. They will discuss how to:

  • Apply intelligent capabilities, machine learning and anomaly prediction to detect the unknown
  • Enhance IIoT initiatives with new R&D strategies
  • Merge sensor data with business information to prioritize failure management strategies
  • Utilize cognitive anomaly detection to address the challenges that data scientists face
  • Predict critical asset failure in real time with cognitive anomaly detection and prediction


ronald van loon

Ronald van Loon

Industry Expert – Top Machine Learning and IoT Influencer


Ruban Phukan

Vice President of Product
Progress DataRPM

Industry Recognitions and Awards

View on-demand