2026 Event Schedule

A forward-looking approach to vegetation management is needed to meet the evolving challenges of wildfire mitigation efficiently. In this session, Logic20/20 will share how they co-developed and deployed an AI-powered Vegetation Risk Index (VRI), enabling a shift to risk-prioritized vegetation management.

Attendees will learn how machine learning and geospatial data are applied to strike risk modeling, grow-in modeling, and tree density detection. The session will showcase how these tools are operationalized to support risk-informed vegetation management, wildfire season preparation, and emergency operations. Leveraging case studies, practical guidance, and a roadmap to implementation, this session will offer a blueprint for utilities looking to modernize how they manage vegetation risk and wildfire resilience.

Session Takeaways:

• Explore how cloud-based analytics enables scalable prediction and repeatability across vegetation programs
• Learn how AI-powered tree modeling can be used to improve mitigation activities
• See how analytics outputs are translated into risk reports, optimized mitigation plans, and forward-looking wildfire prevention strategies
• Gain insights into the cultural, technical, and operational considerations for utilities looking to scale similar programs

Session Sponsored by Logic20/20