Artificial Intelligence in Insurance Analytics: A Systematic Review
Abstract
Artificial Intelligence (AI) has significantly transformed the insurance industry through advanced analytics, automated underwriting, fraud detection, and personalized customer services. This review paper examines the application of machine learning, deep learning, predictive analytics, and natural language processing in modern insurance systems. The study synthesizes existing literature related to claim prediction, risk profiling, premium optimization, customer behavior analysis, and automated policy management. The paper further evaluates the effectiveness of AI-driven insurance models in improving operational efficiency, reducing fraudulent claims, and enhancing decision-making accuracy. Key challenges such as data privacy, model explainability, ethical concerns, and regulatory compliance are also critically discussed. The review identifies future research opportunities involving explainable AI, real-time insurance intelligence systems, and AI-integrated digital insurance platforms.
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