Put a Big Dent in Warranty Costs

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Most automobile manufacturing companies suspect warranty fraud, but aren’t sure of how to eliminate it. Existing detection methods are reactive, complex and expensive, with the manufacturer bearing the cost.
By taking a cognitive approach to anomaly detection and prediction, automakers can isolate fraudulent claims from the datasets. This enables auto companies to streamline warranty claim analysis and improve accuracy, resulting in better fraud detection and significant cost savings.

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