Credit Risk Modeling for Financial Institutions In an era of increasingly complex financial landscapes, the ability to predict and manage credit risk is more critical than ever for financial institutions. Credit risk modelling, a sophisticated analytical approach, is indispensable for assessing the likelihood of borrower default and optimizing lending strategies. This article delves into the…

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Declined Transactions in Credit Card Portfolios In today’s rapidly evolving financial landscape, credit cards have become a ubiquitous tool for consumers, offering convenience and flexibility in making purchases. For banks and credit card companies, maintaining a robust credit card portfolio is essential for fostering customer loyalty and driving revenue. However, one significant challenge that these…

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Advanced Analytics & AI in Protecting Banks Financial institutions face a relentless battle against fraud and risk as technology advances, so do the methods employed by malicious actors. Fortunately, the rise of advanced analytics and generative AI solutions has revolutionized the approach to fraud prevention. One such frontrunner in this domain is TransOrg Analytics, whose…

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The AI in emerging market reveals that 85% of all respondents currently use some form of AI to boost speed and efficiency, with 77% saying it is one of their most important investment areas going forwards. Fraud detection has been one of the major challenges faced by all banks and financial institutions. Such frauds deeply…

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  In the 17th century, it was a common belief that all swans are white. It was changed when an explorer discovered a black swan, a seemingly impossible occurrence. Black Swan term is now used to describe an outlier event, occurring at very low frequency and it has an extreme impact. Why is the term…

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