The AI Lens on Planning and Valuing Grid Resilience Part 2 - AI in Action Across Resilience & Valuation

With foundational AI concepts and evaluation frameworks established, utility teams need to see how these advanced analytics tools perform when applied to complex grid challenges. From automated plan review to granular risk valuation, AI-augmented workflows are already yielding real-world results across distribution and transmission systems.

Part 2 of this interactive course pivots from concepts to application. Presenters walk through concrete examples, emerging use cases, and practical methodologies drawn from hands-on utility engagements. This session provides a clear view of how small, mid-sized, and large utilities can leverage AI to make resilience planning and valuation faster, more granular, more defensible, and more affordable for customers.

In Part 2, presenters will cover:

• Resilience Planning in Practice: Step-by-step examples of AI supporting accelerated plan development, automated policy and data reviews, and threat modeling for extreme weather and physical security risks.

• Enhancing Reliability & Resilience Valuation: Applied methods for extending traditional value-of-service and reliability metrics in integrated grid plan filings, making complex investments easier to quantify and justify.

• Strategic Roadmap & Execution: Practical guidance on identifying high-impact "low-hanging fruit," structuring initial pilot projects, and avoiding common implementation pitfalls regardless of utility size or resource constraints. This session will be followed by an interactive Q&A and practical takeaways for implementation.

This session will be followed by an interactive Q&A and practical takeaways for implementation. Attendees will leave Part 2 with actionable blueprints, real-world case studies, and a practical roadmap for piloting and scaling AI-driven resilience workflows within their own organizations.