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Ready or Not: Preparing for the Unexpected - How GIS and AI are helping risk managers and insurers respond to catastrophe claims

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Keep in mind that the technology is only as good as the data that feeds it. Like many industries, risk management and insurance are plagued by poor data quality, lack of integrated systems, and underutilization challenges. For instance, some organizations still leverage zip codes to pinpoint a building location – which can have a huge discrepancy in understanding exactly where a building resides. It doesn't matter if you have a 99% location accuracy for flood data when the underlying data for the residence our business is not accurate. GIS has become an invaluable tool to assess vulnerabilities, as well as potential damage and risk. The ability to utilize spatial data, layered with risk data, can provide one of the most accurate pictures of what could happen, what is happening and what did happen. Also, the benefits of GIS are not confined to catastrophic events. Risk and logistics managers can use the technology to divert transportation fleets to alternative routes with live information about upcoming adverse weather conditions that could make driving a hazard (see figure 1). While Environmental, Social and Governance (ESG) issues are gaining momentum in the boardroom, senior executives are leveraging geospatial to better understand the impact of rising sea levels, or identify areas of land that are used for agriculture, urbanization and overlay geospatial layers for greater environmental planning. READY OR NOT | 4

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