The grid is becoming increasingly dynamic and complex, and utilities are at the forefront of this transformation. While some have established smart metering programs, others are embarking on grid edge and distributed intelligence by modernizing meter‑to‑cash and distribution operations. Whether driven by regulatory mandates or enabled by federal funding, building a defensible business case that supports a rate case is critical. This session shares utility perspectives from different stages of Grid Edge Intelligence (GEI) implementation, highlighting how open, interoperable, standards‑based platforms help meet regulatory requirements, prioritize high‑value use cases, operationalize benefits and reduce risk. Attendees will gain practical guidance on translating GEI value—such as improved reliability, decarbonization and customer outcomes—into actionable next steps that justify investment and support execution.

Hydro One is doing something most utilities have not yet attempted. By treating AMI data as an enterprise asset, the utility is integrating grid edge intelligence and advanced analytics to feed operations, maintenance, investment planning, and demand-side management, not just billing. AMI data is moving out of the meter-to-cash niche and into the enterprise with grid edge intelligence.

 At the center of this work is an enterprise data and AI platform that integrates AMI data alongside data from other systems, with data solutions built for the needs of different business lines. In parallel, the utility is deploying distributed intelligence applications directly on the meters. Use cases already in progress include optimizing outage restoration times, enabling predictive maintenance, prioritizing capital investments, and developing non-wires alternatives.

 The session will also explore the broader opportunity AMI creates across the utility enterprise. When data flows freely from the grid edge into the right systems and the right hands, it changes what decisions are possible. Grid utilization is one example: AMI data makes it possible to see where unused capacity sits, flatten load curves, and defer infrastructure builds. The same data can drive predictive maintenance, inform capital investment priorities, and support affordability goals. Before AMI and enterprise intelligence, these decisions at best were educated guesses.

 Hear directly from Hydro One and Util-Assist on how one of the first utilities in Canada to leverage grid edge intelligence built its enterprise data strategy, aligned IT with the business lines, and is turning AMI data into measurable business value.

Itron’s Grid Edge Intelligence portfolio is a comprehensive, integrated, end‑to‑end suite of solutions that unlocks the power of data across a utility’s service territory—from the grid edge and neighborhood transformer to the substation. Learn how our grid edge intelligence–based platform supports utilities’ decarbonization, reliability, sustainability and customer experience goals through interoperable, standards‑based, pre‑integrated solutions that build on existing AMI infrastructure to deliver real‑time visibility and distribution load management.