Webinar

How One Electric Utility Is Using AI and Extreme Weather Modeling to Make Critical Grid Decisions

Duration: 1 Hour

Electric utilities are facing increasingly complex weather threats, from wildfire to extreme weather events impacting grid reliability. In this webinar, CenterPoint Energy and Technosylva explore how machine learning, predictive modeling, and AI are supporting more informed, data-driven critical decisions around grid readiness, resource planning, and resilience.

Whether you’re in early planning or already evaluating tools, this session offers practical insights for what comes next.

Get 5 key takeaways from the conversation
Inside the industry’s evolving approach to climate risk

Speakers

Don Daigler
SVP of Emergency Preparedness and Response
CenterPoint Energy

Joaquin Ramirez
Co-Founder & CTO
Technosylva

David Zipkin
SVP of Product
Technosylva

Sonal Patel
Editor/Moderator
POWER magazine

← Previous Beyond Static Assessments: Why Dynamic Wildfire Risk Analysis is Critical to Utility Wildfire Mitigation Next → 3 Keys to Averting Tomorrow’s Black Swan Natural Catastrophe

Webinar

Your Guide to Wildfire Risk and Liability Exposure

This webinar discusses understanding current trends in wildfire behavior and their implications on risk and liability exposure, along with methodologies for risk assessment, mitigation strategies, and tools for real-time monitoring and response to wildfire threats.
Webinar title slide reading ‘Fire in the Forecast: Why electric utilities everywhere need to modernize their wildfire risk assessment,’ with Technosylva and Utility Dive logos above an image of a forest fire spreading into trees.

Webinar

Rethinking Wildfire Risk for Electric Utilities

The webinar highlights how AI, advanced modeling, and weather data are being used for real-time wildfire risk management—enabling continuous analysis, circuit-level mitigation, and stronger response planning.
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