Subscribe to DSC Newsletter

DSC Webinar Series: How a Physics-Driven Analytics Platform Detects Reliability Threats

A physics-driven analytics platform aids in improvements to the reliability and efficiency of connected mechanical systems. The solution analyzes large quantities of time series data from IoT sensors to help identify issues affecting system performance in real-time as well as provide accurate data for predictive maintenance. Our presenter chose a time series database for its high ingest and storage of time series data as well as its ability to easily send this data into their systems for predictive analytics.

During this latest Data Science Central webinar in association with IoTCentral, learn how using a purpose-built time series database helps to continuously optimize reliability of their customers’ connected mechanical systems.


Speaker:
Jon Herlocker, President and CEO - Tignis

Hosted by:
Rafael Knuth, Contributing Editor - Data Science Central

Views: 136

Comment

You need to be a member of Data Science Central to add comments!

Join Data Science Central

Videos

  • Add Videos
  • View All

© 2020   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service