Hitachi Energy Brings AI-Powered Asset Management to the Heart of Critical Infrastructure

By integrating Microsoft’s AI into its Ellipse EAM platform, Hitachi Energy aims to help essential infrastructure operators move from firefighting failures to planning smarter futures.

Managing power grids, rail networks, and industrial plants has never been more complex. Many of these systems are decades old, yet they are expected to handle rising demand, climate stress, and constant operational pressure. To meet that challenge, Hitachi Energy has unveiled an enhanced version of its Ellipse Enterprise Asset Management (EAM) solution, now deeply integrated with Microsoft’s artificial intelligence and cloud technologies.

The updated Ellipse EAM platform brings together asset data, business intelligence, and operational workflows into one connected system. By embedding Microsoft AI, analytics, and collaboration tools, the solution is designed to help infrastructure operators spot problems earlier, plan maintenance more accurately, and make better long-term investment decisions.

Instead of reacting to breakdowns after they happen, organizations can use AI-driven insights to predict when equipment might fail and act before outages occur. This shift from reactive maintenance to proactive, lifecycle-based management is especially critical in sectors where a single failure can trigger safety risks, service disruptions, or major economic losses.

The platform combines operational and enterprise data to give leaders a clear, end-to-end view of assets, costs, and performance. It can recommend the best time to carry out maintenance based on asset condition, workforce availability, supply chain limits, and budget priorities, helping reduce emergency repairs and unplanned downtime.

Delivered through Hitachi Energy’s global ecosystem of system integrators, the solution is built to scale across complex environments. As part of Hitachi’s broader digital energy portfolio, Ellipse EAM is positioned as a foundation for long-term transformation, turning static asset records into living systems powered by intelligence, insight, and foresight.