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.

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.

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.