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.

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.

Hear directly from utilities as they share how Operations Optimizer Essentials and Operations Optimizer Advanced—both network-agnostic solutions—help turn AMI data into measurable operational value. In this session, utilities will discuss their experiences improving AMI performance, prioritizing issues, reducing truck rolls and protecting revenue, from quick time‑to‑value with OO Essentials to deeper analytics and optimization with OO Advanced. Attendees will gain practical insights into how actionable intelligence supports efficient operations, stronger system health and scalable analytics as utility needs evolve.