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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.
FAQs: What is a Digital Water Platform, and How it will Shape the Future
As Trinnex brings digital water platforms to solve utilities' daily challenges, we discuss FAQs about digital water platforms — what they are, and how they will shape our future.
Artificial Intelligence or Artificially Intelligent?
In the light of EPA-mandated LCRR and EPA's conversations about AI, we explore what qualifies as being artificial intelligent as against having just the appearance of intelligence.
Does Your State Accept Predictive Modeling for Inventory Development?
Predictive modeling (including machine learning) can help with inventory development through iterative, data-driven processes. But does your state accept it? Find out in this blog.
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.
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.
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?
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.
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.
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.
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.
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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