The Path to Self-Healing Grids: Innovation from Edge to Control Room

February 03, 2026
33C
Breakout Sessions

These Breakout Sessions are sponsor-led that provide in-depth insights on key industry topics. These sessions offer attendees the opportunity to engage with experts, explore innovative solutions, and gain valuable knowledge—all presented by leading companies shaping the future of the industry. They will also be streamed to a virtual audience! 

As utilities face increasing pressure from extreme weather, aging infrastructure, and the need for faster restoration, automation has become essential. This panel brings together leaders deploying the three critical layers of a self-healing grid: AI-powered asset intelligence and operations, utility-owned private networks, and grid automation.

We explore how these technologies work together to enable real-time grid resilience. AI assists control room operators with predictive analytics and situational awareness. Private LTE networks provide the secure, low-latency connectivity essential for coordinating thousands of edge devices and transmitting critical data from inspection sensors to control centers. Together, these innovations enable utilities to move from reactive repair to proactive, automated response.

Through real deployment examples, panelists will demonstrate how AI supports operators in making faster, better decisions, AI-driven asset inspection and wildfire risk detection feeding automated prevention, why utility-owned networks are critical for reliable, secure grid automation, integration of edge intelligence with centralized control systems, and next steps toward fully autonomous grid management.

Breakout Session Sponsored by AWS



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Panel Moderator
Farnaz Amin
Farnaz Amin, Sr. Business Developer - Amazon Web Services
Speakers
Claudia Cosoreanu
Claudia Cosoreanu, Chief Technology Officer, Grid Automation - GE Vernova
Chris Guttman-McCabe
Chris Guttman-McCabe, Chief Regulatory and Corporate Communications Officer - Anterix
Emma Stewart
Emma Stewart, Chief Power Grid Scientist - INL