Catch the Meters Costing You Revenue
October 27, 2026
Time: 11:00 AM ET | 10:00 AM CT | 8:00 AM PT
Duration: 60 minutes
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Summary
Would you bet on your meter billing accuracy? Most utility leaders wouldn't, and for good reason. Only one in six trust their numbers. Two-thirds are still replacing meters on age alone, not on evidence. And most have no real read on how much revenue their aging meters are quietly costing them.
That uncertainty carries a price. Under-registering meters bleed billable revenue long before anyone notices, and by the time the meter is replaced, that revenue is already gone.
Join VODA.ai's Cory Sides and Ben Schroeder for a candid conversation on what it actually takes to trust your meter data, and how AI-driven meter accuracy analytics turns that uncertainty into a defensible, revenue-protecting plan you can act on.
Source: VODA.ai polling of utility professionals, Smart Water Summit, September 2026.
Key Takeaways:
- What most utility leaders get wrong about their own meter accuracy.
- Why age-based schedules and random sampling miss the real losses.
- How to translate Volume at Risk into gallons and dollars for confident capital decisions.
- How to catch under-registering meters before the revenue is gone.
- Where to start, using the data you already have.
Speakers
Cory Sides
Senior Vice President of Sales
VODA.ai
A Mechanical Engineering graduate from NC State University, Sides began his career with Hersey Meters in 2003. During the last 20 years, he has held several positions, all in the water utility industry, including Manufacturing and Design Engineer, Territory Manager, Systems Specialist, Client Manager, National Account Manager, and Senior Director of Sales. Sides has a wide array of experience in digital solutions for the water industry, including Advanced Metering Infrastructure, machine learning, asset management, and system monitoring and optimization.
Benjamin Schroeder
CTO
VODA.ai
Ben Schroeder is Chief Technology Officer at VODA.ai. With more than 15 years of experience in AI, machine learning, and SaaS product development, he has led teams from early-stage startups to Fortune 500 companies. His work focuses on turning advanced AI research into products that solve real-world infrastructure challenges, helping organizations apply automation, data science, and cost-efficient design to achieve measurable impact.
