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Willis deploys AI to price the reputational risks of celebrity scandals

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AI-powered risk analytics

Willis’s model, powered by datasets from Polecat’s platform, processes millions of data points daily across social media, news outlets and regulatory filings globally. The system uses machine learning, natural language processing and predictive analytics to analyze real-time sentiment data, tracking reputational risk signals and emerging trends.

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Michael J. Anderson is a U.S.-based fire safety enthusiast and writer who focuses on making fire protection knowledge simple and accessible. With a strong background in researching fire codes, emergency response planning, and safety equipment, he creates content that bridges the gap between technical standards and everyday understanding.

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