DTECH 2026 brought the energy industry together at a time when industry priorities are rapidly converging. Throughout the sessions and conversations at the exhibition hall, one message remained consistent. That means the grid is becoming a real-time system at every layer, and the operating model will need to evolve to keep up.
Microsoft had a clear focus this year at DTECH 2026. It’s about helping utilities move from pilot to production by integrating IT and OT data and applying AI to measurably improve reliability, affordability, and productivity, and to deliver the security and governance needed for critical infrastructure.
The Microsoft-led session focused on how utilities are moving beyond experimentation and turning integrated data and AI into repeatable operational outcomes. Lessons from this year’s DTECH point to the next chapter in grid modernization, one defined by execution at scale rather than pilots.
What Utility Leaders Emphasized: Responding to Change
Utility leaders consistently pointed to the increasing rate of change across the power grid. As load increases become larger, more concentrated, and more volatile, planning and operations are required to respond more quickly. While electrification is reshaping peak demand profiles, capital programs are under pressure to deliver measurable value early, even as schedules continue to compress.
At the distribution level, operational complexity increases. Distributed energy resources, electric vehicles, flexible demand, and new market programs are transforming power distribution systems into highly dynamic environments that require greater visibility, orchestration, and cybersecurity. As utilities manage bidirectional power flows and evolve protection schemes, they are raising the bar for visibility, orchestration, and cybersecurity in the face of the reality that small, distributed assets can have large system-level impacts.
As a result, resilience is no longer temporary. It is a daily operating requirement. Fragmented data and manual coordination limit situational awareness and slow response during large-scale events.
Industry leaders were realistic about these constraints. Given equipment lead times, workforce availability, and regulatory requirements, short-term reliability improvements often result from improving the way existing assets and systems are planned and operated. As a result, progress is increasingly measured by how effectively insights are translated into operational decisions, supported by secure and scalable platforms.
Trusted data as the foundation for AI in operations
Utilities generate vast amounts of data across assets, outages, telemetry, imagery, work management systems, and customer platforms. In many organizations, this data remains scattered across systems with inconsistent definitions, variable delays, and uneven governance.
This situation slows down analysis, creates conflicting views on performance, and limits the ability to turn insights into action. Without a consistent and reliable data foundation, AI efforts will struggle to scale beyond individual use cases.
Microsoft is focused on helping utilities establish a governed data foundation that supports analytics and AI across planning, operations, field operations, and customer engagement. By enabling scale across use cases rather than building one-off pipelines, utilities can coordinate based on shared definitions, apply consistent security controls, and collaborate without duplicating efforts.
This is important because the most valuable use cases are cross-domain in nature. Outage performance, capacity planning, and resilience to large-scale events all rely on data across systems and organizations. A unified data foundation will enable AI to support these decisions with clarity, traceability, and operational relevance.
From siled AI solutions to agent operations
Another notable theme at DTECH 2026 was the growing interest in agent-enabled workflows. Utilities are looking beyond standalone AI tools to systems that can support multi-step workflows across planning, operations, and field execution while maintaining proper subject matter expert oversight across the workforce.
The focus is squarely on practical outcomes. Interest in these approaches is growing as utilities seek faster response times, allowing for earlier risk identification, a clearer path from signal to action, and greater collaboration between teams.
Human oversight remains fundamental. Operators and engineers expect AI systems to present choices, explain their rationale, and reference data they can trust, all while operating within clearly defined governance boundaries. In regulated, safety-critical environments, this human participation model must be consistent with role-based access, operational constraints, and established safety measures.
Partner innovation enables modernization
Grid modernization relies on strong ecosystem collaboration. No single organization can do it alone. Interoperability is key: how solutions work together across planning, operations, power recovery, field productivity, and response to critical events.
That focus was evident in announcements from Microsoft and partners at DTECH 2026.
- Dragos — Microsoft and Dragos announced an expanded partnership focused on helping organizations modernize and secure their cyber-physical operations. By combining Dragos’ OT threat intelligence and detection capabilities with Microsoft’s cloud, AI, and security platform, utility companies can improve the safety, reliability, and resiliency of critical systems that power their businesses and communities.
- GE Vernova on Azure — GridOS data fabric and DDLR are deployed on Microsoft Azure, combining GE Vernova’s operational expertise with Microsoft’s cloud, AI, and analytics..
- Hitachi – Hitachi Energy’s Ellipse EAM combines Microsoft Dynamics 365, Microsoft Fabric, Copilot, and Microsoft Foundry to create an integrated solution that manages data, analytics, and business operations, supports asset operations, and provides network-wide equipment visibility for more reliable service, safer operations, and fewer emergency repairs.
- Itron – The new Itron Intelligent Edge Operating System (IEOS) connector for Microsoft 365 Copilot uses trusted grid edge data to redefine grid edge intelligence by applying AI at scale to optimize operations, power predictive insights, and enrich customer experiences.
- Schneider Electric — Microsoft’s AI, cloud, and data capabilities are integrated into the One Digital Grid Platform, enabling operations to move from prediction to execution in minutes.
These developments reflect continued progress toward reference architectures and reusable patterns that reduce bespoke integration and support widespread adoption across utility environments.
Security and resilience built into modernization
As IT and OT environments converge and become more connected at the edge, security remains a central consideration. Utility leaders emphasized the importance of an approach that works across hybrid architectures and reflects operational realities.
Identity, access management, monitoring, and governance must be applied consistently across cloud, edge, and on-premises systems. Resilience increases when operators can achieve timely visibility, clear decision paths, and automation that supports established operational practices.
what happens next
DTECH 2026 emphasized a clear direction for grid modernization. Utilities are prioritizing:
- A trusted data foundation across IT and OT.
- AI and agent-enabled capabilities are built into operational workflows.
- A secure architecture designed to support reliability, governance, and resiliency.
Microsoft continues to work with utilities and industry partners to advance these priorities and support grid operations that can adapt to increased complexity while delivering reliable results for customers and communities.
