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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Insurance claims fraud detection model

By: Virtusa xLabs AI Models Latest Version: 1

Product Overview

Claims Fraud is a serious problem for Insurance Companies as it brings down their profits considerably. Currently, This problem is handled using either internal scoring based engines or rely on Third party agencies for investigations. These rule based systems are static in nature and involve lot of manual efforts, making the process slow and prone to errors. To tackle this, Virtusa-Xlabs has developed a Machine-Learning based solution which will flag suspect claims as ‘fraud’ and those claims can be subjected to more scrutiny. It uses Boosting based AI models and saves considerable effort.

Key Data

By Virtusa xLabs AI Models
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Additional Resources

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