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As the traditional approach to lead scoring can be rigid and subjective, the rapid change in customer preferences calls for a more dynamic, data-driven solution.
The authors analyze the usefulness of the Shapley value as a machine learning interpretability technique in credit scoring.
By enhancing threat detection, enabling real-time risk assessment, and providing predictive insights, AI is empowering organizations to build more robust defenses against cyber threats.
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