Demystify collection systems with machine learning

Black & Veatch's Chris Ranck explains how machine learning can demystify collection systems to create more efficient designs and more reliable outcomes.
Oct. 31, 2023

Engineers and utility executives often see machine learning as a mysterious entity that returns results they don't understand, but Chris Ranck from Black and Veatch says that perspective is backwards.

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Timestamps

  • Introduction | 0:00
  • Machine learning for collection systems | 0:35
  • Attitudes toward machine learning | 1:56
  • Combing through large datasets | 2:44
  • Exciting machine learning future in wastewater | 3:27

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About the Author

Bob Crossen

Bob Crossen is the vice president of content strategy for the Water and Energy Groups of Endeavor Business Media, a division of EndeavorB2B. EB2B publishes WaterWorld, Wastewater Digest and Stormwater Solutions in its water portfolio and publishes Oil & Gas Journal, Offshore Magazine, T&D World, EnergyTech and Microgrid Knowledge in its energy portfolio. Crossen graduated from Illinois State University in Dec. 2011 with a Bachelor of Arts in German and a Bachelor of Arts in Journalism. He worked for Campbell Publications, a weekly newspaper company in rural Illinois outside St. Louis for four years as a reporter and regional editor. 

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