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Florida, frequently impacted by hurricanes due to its geographical location, has faced numerous major disasters over the years. The 2004 hurricane season, known as the "mean season," saw four hurricanes—Charley, Frances, Ivan, and Jeanne—strike the state within six weeks, causing massive damage and highlighting significant challenges for insurers.
Over the past 20 years, the insurance industry has learned critical lessons from these events. Key changes include the establishment of publicly underwritten property insurance, the adoption of advanced catastrophe (Cat) modeling, and a heightened focus on data quality. These improvements have enhanced insurers’ ability to predict, prepare for, and respond to hurricane damage. The implementation of more accurate risk modeling and better understanding of coverage scope have also played crucial roles.
Technological advancements have further revolutionized the industry. Insurers now utilize near real-time data from various sources such as satellites, drones, and IoT devices to provide rapid and accurate assessments of storm damage. This data-driven approach enables quicker claims processing, efficient resource management, and better risk assessment, ensuring a more robust response to future hurricanes.