Utilities are under pressure to act on data faster and across more parts of the business. This session will show how IEE Cloud, integrated with IEOS, creates a modern data foundation that goes well beyond meter-to-cash. We’ll discuss how IEOS amplifies the value of IEE Cloud—enabling streaming data, near real-time insights, and seamless integration with downstream applications—so teams can move from data collection to action with greater speed and confidence

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.

See innovation in action at the edge. After a brief overview of Itron’s first edge App-A-Thon—where utility teams leveraged Itron’s distributed intelligence (DI) platform, virtual SDK and curated datasets— A panel of your peers will be describing their experience using Itron’s developer platform and virtual software developer kit (SDK). Hear firsthand how utility teams used Itron’s platform, in collaboration with Amazon Web Services, to rapidly turn edge data into actionable insights. Discover how Itron’s edge-enabled developer ecosystem makes it possible to design, build and scale new applications that drive smarter, more reliable operations.

Managing meter data exceptions is one of the most time‑consuming and resource‑intensive parts of the billing process—and it’s only getting harder as data volumes grow. In this session, Itron introduces its first agentic AI capability, purpose‑built to transform exception management within meter data management (MDM). By combining proven MDM validation rules with autonomous AI agents, this new approach can detect, diagnose, and recommend—or even resolve—billing exceptions with minimal human intervention. Attendees will see how agentic AI shifts exception management from manual triage to intelligent automation, helping utilities improve billing accuracy, reduce operational burden, and scale without adding staff.

The session will show how AI‑driven exception management can reduce manual billing reviews while maintaining trust, accuracy, and auditability, and offer real‑world insight into how AI agents analyze meter reads, events, and contextual system data to pinpoint root causes and recommend next actions. Participants will also gain a practical view of how utilities can adopt this capability incrementally—starting with AI‑assisted recommendations and evolving toward greater automation—along with a forward‑looking perspective on the future of MDM, where intelligent agents continuously learn, adapt, and scale alongside growing data and operational demands.

Fault prevention is at the heart of Advanced Grid Reliability—shifting utilities from reactive response to predictive maintenance. This session explores how high‑resolution half‑cycle voltage and current waveforms captured by 32 kHz and 4 kHz sensors enable early detection of fault precursors across overhead, underground and low‑voltage assets. Attendees will learn what’s new compared to traditional practices, the role of power quality in corrective maintenance and the operational path to preventative maintenance. The session also highlights wildfire POC results, showcasing how predictive fault detection reduces unplanned outages, improves SAIDI/SAIFI, rebalances TOTEX and helps utilities avoid outages before they occur.

Puerto Rico's grid transformation is creating more than a modern AMI network. It's unlocking actionable intelligence across the distribution system. Join LUMA to learn how it is leveraging Itron's Advanced Grid Reliability and Customer Experience solutions to gain greater visibility into grid conditions, proactively address operational challenges, improve reliability, and enhance the customer experience. Hear lessons learned from one of the industry's largest grid modernization initiatives and discover how LUMA is turning grid-edge data into smarter operations, stronger grid performance, and measurable business value. 

Utilities are uncovering hidden revenue loss and improving safety by transforming how they detect, investigate and resolve non‑technical losses. In this customer-led session, hear real-world use cases regarding how utilities use Itron’s Revenue Assurance solution to proactively identify meter tampering, theft, inactive meter consumption and billing inaccuracies across residential and C&I accounts. Attendees will hear how advanced analytics and workflow-driven investigations help prioritize high‑value cases, reduce false positives, improve field efficiency and recover lost revenue—delivering measurable financial and operational results while strengthening system and public safety.

Battery VPPs are breaking new MW records. On September 9, 2026, approximately 110,000 Tesla Powerwalls delivered 517 MW during a dispatch across California. This session will explore Tesla’s virtual power plant (VPP) programs across the U.S., including its participation in California’s Emergency Load Reduction Program (ELRP), and best practices for designing VPP programs and aggregating batteries into a dependable grid resource. Attendees will learn about existing aggregation models and how utilities can design programs that scale and strengthen reliability during periods of peak demand.

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.

Grid awareness is foundational to advanced grid reliability—enabling faster detection, smarter control and more resilient operations. This session highlights progress in grid awareness through transformer‑level distributed intelligence (DI), advanced monitoring and enhanced location awareness. Tampa Electric shares how it is operationalizing grid awareness by integrating transformer monitoring and high‑resolution data into daily workflows, improving Volt/VAR optimization, power factor correction and control room response. Attendees will learn how real‑time visibility across feeders and transformers supports forecasting, scenario planning and seamless ADMS integration—reducing asset risk while strengthening reliability and resilience across the distribution system.

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.

Old Dominion Electric Cooperative (ODEC), a generation and transmission provider based in Richmond, Virginia, relied for years on highly customized—but very stable—meter data management and wholesale power billing systems. When vendor support for those platforms was coming to an end, we faced the challenge of replacing systems that were deeply embedded in our operations while continuing to meet settlement, reporting, and reliability requirements. We embarked on a multi‑year effort to transition from legacy platforms to Itron’s IEE solution.

In this session, we share an honest look at what it takes to move off long‑standing custom systems and implement a modern enterprise solution. We discuss the key challenges we encountered, the opportunities we identified along the way, and the lessons learned from an 18‑month implementation. Topics include our configuration and requirements alignment process, running shadow billing and parallel operations, and managing operational risk while making significant system changes. Attendees will gain practical insights into what worked, what we would do differently, and what to consider when planning a similar modernization effort.

Discover what it really takes to successfully move meter data management to the cloud—and what your utility stands to gain —by learning directly from Itron experts. In this session, attendees will walk away with clear, practical insight into how to prepare their organization for IEE Cloud, reduce risk during migration, and build the technical readiness needed for long-term success. Learn about the benefits utilities will realize—from greater scalability and resilience to reduced IT burden and faster access to trusted data. If you’re evaluating cloud-based MDM or planning your next platform evolution, this session will help you set realistic expectations, avoid common pitfalls, and confidently chart your path forward with IEE Cloud

The path to grid flexibility increasingly runs through the home, as smart panels, Matter-enabled devices and connected EV chargers are turning individual houses into active grid participants, and the same load disaggregation data that powers customer programs is now informing grid operations and planning. This session looks at how utilities are orchestrating that edge: smart panels for circuit-level visibility and control, the Matter standard's energy management clusters (device energy management, EV charging, tariffs and grid signals) for talking directly to in-home devices, and customer engagement for driving enrollment and keeping DERMS and smart home data in sync. Chris Moris, Chief Grid Architect at PG&E and Spencer Gill, VP of Planning at Hydro One, will share how their organizations are connecting customer programs with grid operations/planning around a shared home-to-grid data foundation, and what it takes to make smart homes and DERMS work together at scale.

Outage awareness is a cornerstone of advanced grid reliability, enabling utilities to detect, diagnose and restore outages faster and with greater confidence. This session explores how edge‑based outage awareness, transformer‑level visibility and Pattern Anomaly Classification improve detection accuracy—including nested outages—and pinpoint fault location and type, even in the presence of aging infrastructure and imperfect GIS data. Attendees will dive into utility progress and technical insights, as well as hear best practices for operationalizing these capabilities to improve outage response, validate restoration, enhance customer notifications, detect energized downed conductors and reduce outage duration.

Distributed Intelligence (DI) initiatives often begin with a focused use case but scaling them into operational programs requires new approaches to technology, processes and organizational alignment. In this session, Patrick Varuzza, PG&E and Tom Williams, VASS Solutions will share PG&E's journey from an early ChargeBoost proof of concept to today's quasi-production deployment and the roadmap toward full operationalization. Attendees will gain insights into the decisions, challenges and lessons learned along the way, including what worked, what didn't and how those experiences are shaping future DI strategy and implementation efforts.

As utilities work to scale transportation and residential electrification, early deployments are providing critical insights into what it takes to move from pilot programs to broad adoption. In this session, Itron will share lessons learned from an EV fleet deployment in New York, highlighting key successes, operational challenges, and considerations related to charging infrastructure, customer participation, and grid impacts. PG&E will discuss its residential electrification initiatives and perspectives on supporting customer adoption at scale. Together, the speakers will explore the path to scale, examining the lessons emerging from initial deployments, the barriers utilities must overcome, and strategies for expanding electrification programs across diverse service territories.

Tampa Electric Company (TEC) set out to address a long‑standing operational challenge: managing AMI and non‑AMI meter data across separate systems—particularly for large commercial and industrial (C&I) customers. While TEC’s legacy MV‑90 environment continued to support billing, detailed load profile data from approximately 1,200 high‑value C&I meters, representing a substantial portion of distribution revenue, remained largely disconnected from broader operational and analytical use. To close that gap, TEC implemented Service Mode within Itron Enterprise Edition (IEE), consolidating AMI and non‑AMI data into a single platform and establishing IEE as the system of record for both billing and analytics.

In this session, TEC shares how Service Mode enabled automated data collection, validation, and integration across its full metering portfolio. We walk through key architecture and integration decisions, data governance considerations, and the operational benefits realized—from improved data consistency to expanded access for analytics, planning, and customer engagement teams. Attendees will gain practical insights into how unifying meter data can strengthen decision‑making and better connect metering investments to business outcomes.