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Insurance Fraud Detection

Cover

Insurance organizations are all exposed to fraud risks. The industry as a whole must be on the cutting edge of technology to stay ahead of fraudsters and reduce losses.

Big data can be leveraged to detect fraudulent activity with a higher degree of accuracy, while still preserving resources, with the implementation of machine learning (ML) algorithms.

This case study will tell you how Santeclair, a health network within Allianz, combatted an increasing amount of fraudulent reimbursements by developing an unprecedented fraud detection system using Dataiku.

Vendor:
Dataiku
Posted:
14 Jan 2019
Published:
31 Dec 2018
Format:
PDF
Type:
Case Study
Language:
English

This resource is no longer available.