WEBINAR

From Data Chaos to Predictive Confidence: AI-Powered Asset Management

Unlock the hidden value in your water utility’s operational data—discover how to overcome six critical challenges to turn raw information into reliable, AI-powered asset management.

June 26, 2025

3:00 PM UTC

1 hour

Sponsored by

June 26, 2025

11:00 AM ET / 10:00 AM CT / 8:00 AM PT / 4:00 PM GMT

Duration: 1 hour

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A certificate of attendance will be offered.

Summary

Water utilities are sitting on a goldmine of operational data that could revolutionize asset management—yet many struggle to transform this raw data into actionable intelligence. This webinar addresses the critical gap between having data and leveraging it effectively for predictive maintenance and smarter asset management decisions.

Industry leaders face persistent challenges: maintenance teams prioritizing broken equipment over predictive alerts, siloed data across collection systems and treatment plants, resistance from veteran operators to new methodologies, and software systems that fall short of today's needs. The root cause? Poor data preparation that undermines confidence in AI-driven predictions.

Join us as we reveal the structured approach that enabled utilities to achieve measurable results, including 6.4% energy cost reduction through optimized aeration systems. We'll outline:

The six critical data challenges preventing effective AI implementation in water utilities
A practical framework for organizing and validating your existing operational data
Step-by-step strategies to build trustworthy predictive maintenance systems
How to assess data quality sufficiency before implementing AI solutions
Real-world examples of utilities that transformed maintenance from reactive to predictive

Whether you're considering your first AI implementation or looking to improve existing systems, you'll leave with actionable strategies to build the data foundation necessary for successful digital asset management.

Speaker

Ben Johnson

CEO and Co-Founder

Freya Systems

Ben Johnson is the CEO and Co-Founder of Freya Systems, where he has spent over 15 years helping organizations transform raw data into strategic assets. His work focuses on guiding industries through the practical steps needed to implement AI and machine learning effectively. With a background in engineering and leadership roles at BAE Systems and Boeing, Ben understands the real-world challenges operators face when trying to align new technologies with existing workflows. Through Freya Systems, he now partners with clients across aviation, manufacturing, defense, and utilities to make data preparation a powerful tool for predictive maintenance, resource optimization, and long-term planning. Ben is known for fostering collaboration between executives and operational teams, helping them design data strategies that drive efficiency without losing sight of human judgment. A graduate of the Goldman Sachs 10,000 Small Businesses program, he champions sustainable, scalable solutions for organizations of all sizes.

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