As electric grids become more dynamic, distributed, and digitally connected, and as the pace of change accelerates—utility control centers must evolve to manage vast volumes of data, adapt to rapidly changing grid conditions, and maintain high reliability under growing stress. Can AI meet these challenges, or is it still more hype than breakthroughs? This session explores how Artificial Intelligence (AI) can move from concept to reality in grid operations. With mounting pressure to maintain situational awareness, operational effectiveness, and grid reliability, the industry is wondering:

• How can AI be embedded into control room environments to augment operator capabilities?
• Can AI be integrated into Energy Management Systems (EMS), forecasting, event detection, and decision-making processes?
• What are the examples of AI delivering tangible results in outage response, dispatch strategies, and load/generation forecasting, especially under conditions of high renewable and DER penetration, volatile market dynamics, and extreme weather events?

The speakers will challenge traditional assumptions about control center roles and responsibilities, and share insights on how AI can reshape the workflows, enable a smarter, more adaptive grid. Whether you’re operating the control room, modernizing infrastructure, or developing advanced analytics, this session will provide a practical view of what AI can deliver today and what innovations are just ahead.

Join us to explore: What is possible with AI in grid operations?

This session, Applying Agentic AI to the Utility Rate Case Process, will explore how PPL Corporation is using specialized AI agents to transform the utility discovery response process, reducing a traditionally labor-intensive effort involving more than 100 employees into a faster, more accurate workflow completed in minutes. By coordinating SME, legal, and orchestration agents, PPL has improved response consistency, reduced duplicate effort, and minimized the risk of conflicting answers, while creating a repeatable framework that can be expanded across the broader rate case process to help utilities improve efficiency, governance, and regulatory outcomes.