Originally based on the skills of underwriters, data analytics and AI now incorporate technology to boost accuracy, speed, and efficiency. Data-informed underwriting allows insurers to assess their portfolios, pinpoint risk "hotspots," and forecast claims with improved precision. By utilizing detailed insights into exposure patterns, insurers can make well-informed choices, enhance loss ratios, and fine-tune their underwriting approaches.
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