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Fraud detection in claims processing

Use Case

Fraud detection in claims processing

Neural networks are used to detect and filter out patterns of fraud cases. Conspicuous damage reports are reported to claim handlers and checked manually.

1

Process

Customers send insurance claims reports as text documents or pictures. Fraudsters assume that particularly low-value damages are not thoroughly examined.

2

Algorithm

Neural networks are used to identify and filter out patterns of past fraud cases or accumulations of conspicuous, current damage reports.

3

Decision

The selected damage reports are reported to the claim handlers and checked manually by insurance fraud specialists.

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