Category: INSEAD & Stanford Case Study Analysis

SpudSpy Lee Fleming Daniel C Snow

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To Catch a Thief Explainable AI in Insurance Fraud Detection Antoine Desir Ville Satopaa Eric Sibony Laura Heely 2023

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Catch a Thief: Explainable AI in Insurance Fraud Detection In 2015, the Insurance Fraud Bureau (IFB) of Nigeria revealed that some fraudsters had been using AI and deep learning models in their crime prevention efforts. In this case, a research paper, “Predictive Fraud Detection using Deep Learning and Ensembling” published in IEEE Transactions on Knowledge and Data Eng. Aimed at understanding the possibilities of AI for predicting insurance fraud

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Despite advances in technology, many insurance frauds continue to occur due to a lack of technology and insights. Predictive analytics and explainable AI are revolutionizing insurance fraud detection. In recent years, predictive analytics and explainable AI have seen tremendous growth, revolutionizing the way insurers detect and prevent fraud. Explainable AI (XAI) has emerged as the next frontier of AI development in the insurance industry. Explainable AI is a key technology that enables

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Gtropy Up or Out in This New Digital World Amit Gupta Sangeeta Shah Bharadwaj

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New Beginnings Architecture Avoiding the Problem Employee Trap Heidi Gailor

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Sustainable Procurement at SNCF An Impressionists Approach to Transformation Gerry Yemen Ronald G Kamin Karen DelchetCochet 2012

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Kroger and Albertsons A Good Match Carlos Trejo Pech Susan White

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