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Details:
This free 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, 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.
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