Name: Machine Learning and Real-time Analytics for Potable Reuse: Applications and Lessons Learned the Hard Way: Webinar
Start: 2026-12-15T10:00:00-06:00
End: 2026-12-15T11:00:00-06:00
Location: Machine Learning and Real-time Analytics for Potable Reuse: Applications and Lessons Learned the Hard Way: Webinar

Machine learning (ML) is a powerful modeling tool that remains underutilized in the water sector. It can be used for prediction, optimization, and operational decision making using complex water quality and process data. This presentation provides a practical introduction to ML for water reuse applications, including data requirements, model development, model evaluation, and interpretation of results in an engineering context. The presentation will also include cautionary tales of how validation assumptions that do not truly simulate scale-up can lead to misleading results. Attendees will gain practical insight into where ML adds value and how it can be responsibly applied to the operation of reuse systems.

Speakers:

Kyle Thompson, Carollo
Quentin Geile, Plummer (moderator)

Registration and Sponsorship

WEAT Member Registration: Complimentary

WateReuse Texas Member Registration: Complimentary

Non-Member Registration: $85

Webinar Sponsorship: $300

Sponsorship includes your name and logo acknowledgment at the webinar, on the WEAT website, in the bimonthly Texas WET magazine, and on the WEAT social media pages.