The BlueConduit blog

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November 11, 2025

Turning unknowns into action: insights from an AWWA webinar

See how BlueConduit helps cities turn data uncertainty into action with AI, machine learning, and statistical modeling for faster LCRI compliance.

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Oct 28, 2025

An open letter to utility leaders: bridging the gap between innovation and impact

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Oct 15, 2025

Reports from the field: CEO Lorne Groe’s insights from WEFTEC 2025

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Sep 30, 2025

What does LCRI require in 2025 and 2026?

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May 21, 2025

Texas gives green light to predictive modeling for lead service line inventories

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Mar 27, 2025

Get the lead out: CFPUA’s process from locating to replacement of galvanized services

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Mar 25, 2025

The power of prioritization: A smarter way to get the lead out

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Mar 18, 2025

Building a robust dataset: The foundation of a successful LSL replacement program

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Mar 14, 2025

A smarter approach to LSL replacements: Best practices you need to know

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Mar 13, 2025

Beyond predictions: BlueConduit’s optimized approach to LSL replacement

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Mar 5, 2025

How software transforms unknown management for lead service lines

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Mar 4, 2025

Is Texas’ water infrastructure on the brink? Why proactive management is key

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Feb 27, 2025

Can a water system use predictive modeling when there are no known lead pipes in the system?

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Feb 25, 2025

Thresholds vs confidence levels: What are the key differences?

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Feb 24, 2025

Des Moines, Iowa: A case study in using predictive modeling to classify unknown service lines

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Feb 20, 2025

Can I use a standard threshold to classify service line materials as lead or non-lead?

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Feb 19, 2025

How predictive modeling is used to classify service line materials

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Feb 14, 2025

BlueConduit featured in The Water Report: Managing unknown service lines for LCRI compliance

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Feb 13, 2025

Water Finance & Management highlights BlueConduit’s data-driven approach to LSL replacement

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Feb 10, 2025

LCRI replacement plans: The importance of unknown management and replacement prioritization

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Feb 4, 2025

Why predictive modeling is the best way to quickly reduce unknowns

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Feb 3, 2025

How to evaluate a predictive modeling solution for water mains

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Jan 31, 2025

America’s next water crisis? A lack of experienced workers

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Jan 29, 2025

Using predictive modeling to meet state LCRI compliance requirements

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Jan 28, 2025

BlueConduit launches LSL Replacements tool to streamline lead service line replacement planning

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Jan 27, 2025

Clustering LSLs to identify priority locations for replacement

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Jan 24, 2025

Proactive maintenance for small diameter water mains: What you need to know

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Jan 23, 2025

How do predictions influence a service line’s material classification?

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Jan 22, 2025

Prioritizing LSL replacement: How BlueConduit’s new product helps

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Jan 21, 2025

Planning for LSL replacements: An interview with BlueConduit CEO, Lorne Groe

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Jan 20, 2025

Managing water infrastructure risk in Alabama

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Jan 17, 2025

23 Colorado cities need to replace at least 20,000 lead pipes that could taint drinking water — Fresh Water News

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Jan 16, 2025

How to create a public-facing map in Esri

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Jan 16, 2025

BlueConduit and Pennsylvania: By the numbers

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Jan 15, 2025

Pennsylvania’s Service Line Inventory Guidance for Predictive Modeling

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Jan 15, 2025

Managing ‘unknown’ service lines in utility systems

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Jan 14, 2025

Why your service line inventory isn’t done

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Jan 13, 2025

Q&A: Using predictions to assess large diameter water main risk

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Jan 9, 2025

Meet the team: Charley Shamaly

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Jan 7, 2025

Why predictive analytics is the future of water main risk management

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Jan 6, 2025

Goshen, Indiana: Using statistical methods to classify unknown service lines as non-lead

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Jan 3, 2025

Artificial intelligence accelerates lead pipe removal in U.S. cities

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Dec 19, 2024

BlueConduit announces Charley Shamaly as VP of Engineering

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Dec 17, 2024

Lead out: water systems nationwide miss crucial deadline to identify their lead pipes

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Dec 16, 2024

Team voices: why we’re proud to work at BlueConduit

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Dec 13, 2024

2024 in review: what our partners appreciate most about BlueConduit

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Dec 12, 2024

Using predictive modeling for proactive water main planning in Mobile, AL

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Dec 12, 2024

[Webinar] Enhancing water main condition assessments with predictive modeling

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Dec 11, 2024

Unknown management for no and low lead: by the numbers

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Dec 9, 2024

How do I prioritize reclassifying the unknowns in my system?

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Dec 6, 2024

If you have service lines that were determined to be non-lead using statistical analysis, do you still have to pothole them?

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Nov 27, 2024

[Infographic] Weighted model, weighted model with regression, or predictive modeling for water mains: how do they stack up?

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Nov 25, 2024

[Infographic] LCRI requirements: LSL/GRR replacement plans

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Nov 20, 2024

[Infographic] The path to LCRI compliance: what you need to know

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Nov 19, 2024

The City of Bloomington utilities releases water service line inventory

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Nov 15, 2024

[Infographic] Ready to identify and replace all LSLs?

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Nov 14, 2024

What the LCRI says about unknown management

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Nov 14, 2024

[Webinar] What’s next: LCRI compliance and unknown management for water systems

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Nov 13, 2024

Weighted model, regression, or machine learning for water mains: how do they stack up?

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Nov 4, 2024

Predictive modeling for water main condition assessments: M77 manual guidance

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Oct 23, 2024

New Orleans S&WB issues plan to replace lead pipes across the city

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Get Inspired.