Weather affects production and consumption in every economic sector, and nearly a half-trillion dollars of annual U.S. economic activity is at risk due to variations in weather. Technology has allowed the weather data we collect to grow exponentially, so much that machine-learning tools are now necessary to analyze data to look for patterns. These patterns help businesses anticipate, respond to, and recover from weather-related events. How can businesses access this information to offset weather-related risks? Guest: Steve Bennett, Chief Product Officer, Demex Group. Hosts: Christina Elson and David Yang.