Extending Grid Capacity with IIoT and AI: From Data to Capital Decisions

Sponsored by Phaseshift and Cirrus Link

As grid constraints intensify, utilities and energy operators are increasingly dependent on high-quality, consistent operational data to understand how assets perform across sites, vendors, and environments. IIoT platforms and AI systems rely on access to reliable, normalized data from the edge to enable accurate analysis of utilization, constraints, and operational risk. Without a common data foundation, scaling analytics and decision-making across fleets remains a significant challenge.

This panel will examine how standardized, shareable operational data is enabling AI-driven insights that support planning and capital decisions. Speakers will discuss how data architectures that connect, normalize, and distribute information across stakeholders are being used to improve confidence in upgrade timing, investment prioritization, and long-term grid strategy. The focus is on how data infrastructure and AI together support decisions that extend grid capacity while maintaining reliability and control.