Streaming Risk Scoring and Behavioural Pattern Recognition: A Real-Time Machine Learning Architecture for Insurance Fraud Risk Assessment
Keywords:
streaming risk scoring, behavioural pattern recognition, real-time machine learning architecture, insurance fraud risk assessmentAbstract
Artificial intelligence (AI) has a valuable role to play in the detection and prevention of insurance fraud. This is especially important because insurance fraud can cause substantial financial losses. In the United States alone, fraudulent claims amount to $80 billion annually, and experts estimate that the problem is even more serious for insurance companies in the European Union. Especially in the case of non-life insurance, insurance fraud prevention and detection are gaining in importance.Downloads
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