This weather forecast model also provides an opportunity to train machine-learning algorithms to accurately predict severe weather outcomes. The predictions flow into Decision Hub, which uses several spatial algorithms to simulate potential severe-weather impact to American Family’s portfolio. Each forecast model uses updated weather observations from NOAA and predicts multiple weather variables, including precipitation, wind, temperature and pressure. The updated forecast models will provide a 48-hour forecast four times a day. Adding weather forecast data to Decision Hub will provide a 48-hour view into the future and help the team be more proactive.ĭecision Hub platform visualizing hail storm impact over Denver, CO – May 8, 2017 The data are fused with the company’s policy and claims data to provide a comprehensive view of potential impact immediately following a storm. Decision Hub draws on multiple weather-data feeds, including radar-derived hail size estimations, damaging wind speed swaths and crowd-sourced storm reports. The CAT Claims team uses a powerful data and mapping application called Decision Hub to visualize and quantify the impact of a severe-weather event. Real-time situational awareness is a critical need for American Family’s Catastrophic (CAT) Claims team in order to properly optimize resources and satisfy policyholders. The company is exploring the use of updated numeric weather prediction output in conjunction with traditional measurement techniques – a first in the insurance industry – to generate a framework that will provide improved understanding of the surface wind field in near real time, and more importantly, to be used as the foundation for a machine-learning methodology for forecasting insurance claims. Morgan, a professor in the Department of Atmospheric and Oceanic Sciences at the University of Wisconsin–Madison, and Brett Hoover, a researcher at the UW Space Science and Engineering Center.
To improve wind damage estimates, American Family is partnering with Michael C.
Accurate, timely prediction of the volume and location of expected claims can greatly help with resource planning and lead to better outcomes for customers.Īlthough advancements in radar detection technologies have improved the estimates of hail-related storm impact, this is not the case for wind-related damage. When such events occur, American Family must quickly mobilize resources and claims adjusters to service an increased number of customer claims as fast as possible. That’s why American Family Insurance is partnering with UW–Madison experts to create wind-related weather models that more accurately predict these events, helping the company prepare for insurance claims and protect its customers. We will work closely with you to help you craft messages, visually convey your ideas in meaningful ways, and broadly distribute that message with a solid communication strategy.Many catastrophic events such as large hailstorms, hurricanes, wildfires and tornadoes occur with limited warning and result in sudden, significant losses for property owners. We play a critical role in all of the university’s major communication and marketing efforts. University Marketing serves as the central marketing and brand office for the University of Wisconsin–Madison.
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