Insurance: Fraud Prevention


Preventing fraud and identifying fraudsters is greatly aided by the Machine Learning algorithms built into the papAI platform.

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Through the use of Big Data to find patterns from many different sources, we are able to automate processes and detect fraudulent behaviour. The automation of tasks reduces the purely administrative part of the process and allows us to optimize costs and processes.


We combat fraud in the health sector through two learning tasks: supervised and unsupervised learning. Unsupervised anomaly detection allows us to identify suspicious values in a large stack of data rather than investigating thousands of applications by hand. For unsupervised anomaly detection, we build and train AI algorithms to detect and alert new fraudulent requests.