disaster zone podcast: Predicting Damages Before a Disaster

New technologies are encouraging organizations to look more proactively about predicting disaster damages. That is the topic of this Disaster Zone Podcast: Predicting Damages Before a Disaster  This a thoughtful discussion on what is possible today and what might be more possible in the future.

Podcast Description:

In this podcast we look at a new technology being developed and fielded to help people and organizations, public and private better understand climate risks of all types. From wildfires to floods, climate fueled natural disasters are becoming more and more prevalent.

The podcast guest is Sarah Russell, Managing Director of Bellwether who speaks to the ways that advanced machine learning can help improve disaster response as these events continue to Bellwether has worked with the Defense Innovation Unit and the National Guard to help these first responder teams more accurately locate survivors and track damage to essential infrastructure.

Bellwether is a fully commercialized business, with clients in the insurance and disaster response sectors. Their software identified an area of Ventura County, CA as high fire risk in 2024, and that area overlapped nearly perfectly with the Mountain Fire in November, 2024.