Wildfire and extreme weather events are becoming more frequent, more destructive, and increasingly difficult for electric utilities to manage using traditional tools alone. To strengthen resilience and improve real-time decision-making, electric utilities are turning to AI-driven analytics and advanced weather modeling as a core part of their operational strategy.
In this webinar, you’ll learn how CenterPoint, a leading electric utility is beginning to integrate predictive hazard modeling for wildfire, flood and wind events into its grid operations. Discover how AI and real-time situational intelligence are supporting proactive extreme weather risk detection, infrastructure protection, and alignment with regulatory and emergency response goals. This early-stage implementation offers practical insights into what it takes to move from awareness to action—and how data can help electric utilities stay ahead of escalating weather threats.
The session will feature electric utility and technology leaders sharing the implementation journey, initial use cases, and how this approach is expected to evolve over time. Whether your organization is in the planning phase or actively evaluating tools to support grid resilience, this session offers a timely and actionable look at what’s possible—and what’s coming next.
Join Don Daigler, Senior Vice President of Emergency Preparedness and Response at CenterPoint Energy, Joaquin Ramirez, Co-Founder & Chief Technology Officer of Technosylva and David Zipkin, Senior Vice President of Product at Technosylva, to explore how data and modeling are being operationalized to support critical grid decisions.
- How one electric utility is integrating AI-driven extreme weather modeling—including wildfire, flood and wind hazards—into daily operations and long-term resilience planning.
- How predictive analytics and real-time extreme weather risk assessment tools are supporting situational awareness, infrastructure protection, and emergency response.
- What it takes to align operational priorities, regulatory requirements, and resilience goals using data and modeling technologies in an increasingly volatile climate.
- Early insights from an electric utility at the start of its integration journey, including key drivers, initial applications, and how this approach is shaping future response strategies.
