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Webinar

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

October 8, 2025
11:00 am - 12:30 pm
Online

(Times listed in Mountain time zone)

Fee per person: $75-member, $120-nonmember

Can’t attend? Register now and watch later, on-demand!

*This webinar is included in the 2025 Annual Webinar Subscription.
*Subscribers will be registered separately.

Objectives

  • Know what data is needed to develop a predictive model.
  • Identify locations needed to field verify when building a model.
  • Evaluate cases using predictive models.
  • Understand how to utilize model outputs to assign "lead" and “non-lead.”
  • Understand the nuances of aligning predictive models with regulatory expectations.

Expert Panel

Moderated by: Vishakha Kaushik P.E., Senior Water Engineer, Arcadis

Katie Daheer, Analytics Consultant, Trinnex

Lowell Rust, VP of Customer Success, VODA.ai

Sheela Lal, Delivery Project Manager, BlueConduit

Description

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


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Certificates of Completion

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