The Predictive Utility: Prioritizing AI for Grid Resilience and Business-Driven ROI in an Era of Unprecedented Demand
The utility industry stands at a critical inflection point. Legacy infrastructure, built for predictable load, is now facing a massive double-whammy: unprecedented, high-density load growth from electrification and AI data centers, compounded by increasingly severe climate-driven disruption. The pressure is on to dramatically accelerate grid modernization while maintaining affordability and reliability.
This is not a session on if AI and data intelligence are necessary—it is a guided, peer-to-peer discussion on how to move from pilot to production at speed and how to prioritize use cases for maximum business-driven ROI and system resilience.
This roundtable will use scenario-based prompts to facilitate an open, engineer-led dialogue among senior utility executives and experts. We will collectively address the core questions:
- How can we align capital planning with data intelligence to justify and accelerate T&D investments?
- What is the process for selecting AI/ML use cases that deliver measurable ROI on grid resilience (e.g., SAIDI/SAIFI reduction) versus long-term efficiency?
- What is the "art of the possible" when predictive analytics can truly forecast infrastructure failure and optimize resource deployment before a major event occurs?
Join your peers to move past the hype and develop a pragmatic, data-driven roadmap for transforming your utility's capital expenditure and operational strategy.
Session Sponsored by Lovelytics