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Fraud Detection in Insurance Claims using Artificial Intelligence

slide1 Fraud Detection Fraud Detection in Insurance Claims using AI Intelligence Using Artificial
in Insurance Claims Download Whitepaper
“Fraud Detection in Insurance Claims using Artificial Intelligence”

Over the last few years, the need to have stronger cyber & data security has risen even among the everyday individual as well as businesses. This need for security is applicable to the insurance industry. Having understood this need and the market scenario, quite a few enterprises have developed and deployed AI based digital solutions for fraud detection, especially in the claims functionality. 

Artificial Intelligence within the insurance industry has overhauled the claims management process by making it better, faster,and with fewer errors. Subsequently, it will help offer better customer experience and business growth. 

Artificial Intelligence & Machine Learning can help detect possible fraudulent activity and also adapt to ‘learn’ previously un-encountered fraudulent behaviour. The five keys to using AI in Fraud Detection are:

Integration of Supervised and Unsupervised AI models in one comprehensive strategy
Integration of Supervised and Unsupervised AI models in one comprehensive strategy

Applying Behavioural Profiling Analytics in Fraud Detection
Applying Behavioural Profiling Analytics in Fraud Detection

Distinguishing specialised from generic behaviour analytics
Distinguishing specialised from generic behaviour analytics

Leveraging large datasets to develop effective models
Leveraging large datasets to develop effective models

Adaptive analytics and self Learning AI
Adaptive analytics and self- Learning AI

Download our whitepaper “Fraud Detection in Insurance Claims using Artificial Intelligence” to know more!

Fraud Detection in Insurance

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