Unsupervised Fraud detection for Insurance
Keywords: Tensor Flow, Insurance, Fraud detection, Deep Learning, Claim processing
"The extent of insurance fraud varies between countries. Detected and undetected fraud is estimated to represent up to 10% of all claims expenditure in Europe. This figure varies between countries and classes of insurance due to a number of factors, such as how the market functions or the local prevalence of one type of insurance. "
Our Technology stores, analyses and predicts thousands of Claims and Customers behaviours simultaneously, finding anomalies and similarities and reducing the human intervention in problems like fraud detection, discovery of new ways of fraud, identify churn rate propensity and accurate policy personalization.