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Trinnex Insights Blog

AI-Powered Efficiency: Quick Wins for Your Utility

AI-Powered Efficiency: Quick Wins for Your Utility

The water utility industry is facing a wave of change, and AI offers a powerful toolkit to navigate this transformation. But where do you start? Read the blog to explore.
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Insight

SOC 2 compliant Digital Water Solutions are Critical, Here’s Why

The smallest of the vulnerabilities in digital platforms can be exploited. But being SOC 2® compliant is a major step towards improving your security posture.
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Insight

Bootstrapping: A Key to Reliable Service Line Material Predictions in Water Systems

Explore the possibility of using predictive models, like machine learning (ML), to predict service line materials, build service line inventories, and thus comply with LCRR.
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Insight

Understanding Random vs. Representative Verification Sets for Predictive Modeling

To be reliable, predictive models that estimate service line material should be built using field verification samples. But how do you ensure that the sample is representative?
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Insight

Pedaling towards efficiency: Trinnex partners with IDOT to develop their Bicycle Facility Inventory System

Deployed by the Trinnex and CDM Smith teams, IDOT's BFIS will serve as a definitive source of bicycle data and guide the prioritization of future bike facility projects. Read on.
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Insight

Digital Twins for Water Utilities: Myths and Realities

Explore how digital twins help water utilities proactively manage their systems. Read on as we debunk myths and feature facts on digital twins for water utilities.
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Insight

Unbiasing your Service Line Material Prediction Model

It is essential for water systems to construct predictive models using unbiased representative data to harness the potential of predictive modeling as a potent tool.
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Insight

The Ordeal Is Real: Top Challenges With Sewer Overflows

Sewer overflows pose several challenges for water utilities but technology enables proactive prevention.
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Insight

The 10 Principles of Responsible AI for Water Utilities

Responsible AI ensures water utility AI systems are designed, developed, and deployed with ethical considerations, transparency, fairness, and accountability.
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Insight

Cybersecurity Implications for Managing Lead Service Line Inventory Data

Water utilities must balance the cybersecurity implications with managing lead service line inventory data, whether you decide to build your own system or buy one.
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Insight

Recap: Your Options for Lead Service Line Inventories

This recap covers the need for a data management system and what utilities should look for when evaluating lead service line inventory options.
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Insight

Q&A: Taking on Utility Communications Head On

Check out this Q&A on utility communications featuring two of the water industry's leading marketing and communications professionals, Andrea Hay and Kelley Dearing Smith.
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Insight

Build or Buy? Service Line Inventory Options to Consider

Is it better to build your own or buy a service line inventory system? We explore what needs to be included to comply with EPA lead and copper rule revisions regulations.
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