Developing Predictive Models for Service Line Inventories and Applying Results to Regulatory Compliant Inventories

This webinar is designed to provide utility professionals and consultants with essential knowledge and practical guidance on leveraging machine learning to develop service line inventories in compliance with the Lead and Copper Rule Improvements (LCRI). With increasing regulatory pressure to accurately identify, manage, and mitigate lead service lines, predictive modeling offers a powerful tool to streamline the inventory process, reduce uncertainties, and enhance public health protection.

Attendees will learn how predictive modeling can be effectively utilized to support the development of lead service line inventories required for LCRI compliance. Attendees will gain insights into data requirements, modeling processes, and best practices for selecting and implementing machine learning solutions tailored to their unique needs. Critical steps involved in applying predictive model results into their inventories, including those submitted to regulatory bodies will also be discussed. The webinar will begin with an interactive panel discussion, followed by a Q&A session where attendees can ask questions and delve deeper into the practical applications of predictive modeling.

The session will feature three different perspectives, specifically:
(1) Vendors specializing in predictive modeling software for service line inventories.
(2) Utilities that have successfully implemented their modeling approach, providing a comprehensive, real-world perspective on the benefits and challenges of using predictive models.
(3) Consultants advising utilities and regulators on how to select a process/software and apply the results of that model to an inventory and/or utility-specific objectives.

Key Topics Covered:

— Choosing data for predictive modeling

— The predictive modeling process

— When to use predictive modeling

— Applying predictive modeling results to service line inventories

— Real-world case studies and implementation insights

DISCLAIMER: The mention of specific products or services in AWWA webinars does not represent AWWA endorsement, nor do the opinions expressed in such webinars reflect the views of AWWA. AWWA does not endorse or approve products or services.

Webinar registration priced per person. Each registrant will be granted live and on-demand access for one person, on a single computer. Link sharing is strictly prohibited. Presentation slides will be available to download during the webinar and a recording will be available to view after the live webinar concludes.

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