Reaching New Data Points to Enable A Smart Collections Network

Machine Learning for Sensor Anomaly Detection in Collection Systems

Wednesday, April 18
4:00 PM - 4:50 PM
Location: Innovation Learning Center #1

CWEA: 1 Contact Hour

Sponsored By: 

As Smart Cities become connected through thousands of sensors and devices, understanding when and where an anomaly is occurring will become more difficult at the same time it becomes more important. This case study outlines the effectiveness of using machine learning in a collection system to track sensor anomalies.

KM

Kevin Marsh

VP Sales
FlowWorks

Biography:

+20 yrs technical sales background. Bachelor of Arts degree in International Relations from the University of Delaware.Former: Vice President of Sales of Marsh-McBirney, Hach Company as their Data Delivery Services division, VP of Sales for OptiRTC, Inc. and numerous positions in the Water Environment Federation and the American Water Works Association.

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Machine Learning for Sensor Anomaly Detection in Collection Systems



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