Artificial intelligence is no longer a research experiment for utilities—it is moving into real-world grid operations. This session brings together operational, research, and technology perspectives to show how AI can support grid operators with faster insights, enhanced situational awareness, and greater confidence in high-stakes decision-making. Speakers will demonstrate how operational data, digital twins, and AI models are being combined to turn massive volumes of data and simulations into actionable guidance—helping operators detect emerging conditions, explain system behavior, and evaluate response strategies in real time. The focus is on practical deployment: how utilities can begin applying AI today using existing data and network models, while preserving the transparency, reliability, and human oversight required for next-generation grid operations.

Session Takeaways:
- Why AI is now a practical, real-time support tool for grid operators—not a future-state concept
- How combining operational data, digital twins, and AI models turns raw data into actionable grid guidance
- How utilities can begin applying AI today using existing infrastructure while keeping operators in control and maintaining system trust