Speaking with five insurance fraud leaders and partners across the globe, this paper looks at the limits of past fraud detection and why analytics holds the answer to many of its concerns when it has a human balance.
The push toward Big Data and analytics for fraud is coming with a clarion call of automation and modelling. Unfortunately, a pure automation operation can create as big of an opportunity for fraud as already exists in the market by producing exploitable data pattern recognition.
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