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

Reducing water loss isn’t a single technology decision, it’s a journey that requires the right foundation, informed tradeoffs, and lessons learned along the way. Many utilities still rely on customer reports or periodic surveys to identify leakage, making response largely reactive. This session focuses on how utilities are shifting toward a proactive water loss strategy by leveraging network data, analytics, and improved visibility into system behavior. Speakers will discuss how combining distribution system data—such as pressure trends, asset age, material, and failure history—enables earlier identification of emerging issues before they result in surface leaks or main breaks.

Delivering a UIQ AMI Head‑End System is complex under any conditions—but doing so alongside a major SAP S/4HANA CIS upgrade significantly heightens integration and delivery risk. Eversource is addressing this challenge by implementing a greenfield UIQ AMI integration framework designed to remain stable, scalable, and secure despite overlapping timelines, shared resources, and regulatory constraints.

This session highlights how Eversource advanced UIQ AMI integration blueprinting, design, and data governance while CIS SMEs remained focused on CIS delivery. Attendees will learn practical strategies such as reusable integration patterns, phased rollout of high‑risk interfaces, and early cross‑system dependency alignment. Eversource will also share lessons learned and early outcomes, including improved data quality, reduced manual workarounds, and more predictable delivery of UIQ AMI integration milestones.

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.

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.

Ensuring reliable utility operations during storms is increasingly critical in today’s energy landscape. This session highlights an advanced approach to Distribution Automation that combines predictive analytics and Quality of Service (QoS) within Itron’s mesh network to improve storm response and service reliability.

Attendees will learn how predictive analysis is used to proactively identify at‑risk antennas and devices ahead of storm events, helping maintain communications and enabling faster fault isolation through automated sectionalizing. The session will also explore how QoS prioritizes time‑sensitive communications for devices such as reclosers, voltage regulators, and fault current indicators, ensuring outage isolation commands are delivered without delay.

Through real‑world examples, this presentation will share practical lessons learned and actionable strategies utilities can apply to strengthen network resilience, reduce restoration times, and improve customer satisfaction during severe weather events.

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.

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.

Customer participation is central to the success of utility EV and DER programs. In this session, Tampa Electric and SMUD will share how they are advancing customer-facing and grid-facing strategies through managed EV charging, solar visibility and time-of-use optimization, supported by Itron's EV Load Control Switches and Net2Grid's EnergyAI® edge intelligence platform. 

Tampa Electric will detail how Itron EV Load Control Switches were deployed to integrate EV charging into both a demand response framework and a time-of-use rate structure, spanning its Prime Time Plus and Energy Planner programs. Attendees will learn how this approach supports peak load reduction, improves load shape and delivers customer value through bill credits and access to lower energy rates. 

SMUD and Net2Grid will explore how Distributed Intelligence-enabled, real-time DER awareness, with Net2Grid's EnergyAI® operating directly on the grid edge, enables accurate identification of EV and solar customers without cloud-based analytics. We anticipate these capabilities to accelerate TOU program enrollment, EV managed charging initiatives and solar rebate programs, while supporting grid reliability use cases such as targeted load shedding and planning. 

Together, these case studies demonstrate how customer-focused program design, edge intelligence and load control technology can increase participation, improve satisfaction and support broader grid flexibility goals. Attendees will leave with actionable takeaways on enrollment, engagement and program scalability.