Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...
Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...
Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...
RIZAL Commercial Banking Corporation (RCBC) has strengthened its fraud detection and cyber risk management systems as ...
Bob Haegele is a freelance writer specializing in topics such as insurance, investing, and credit cards. His work has appeared on Business Insider, CreditCards.com, and other nationally recognized ...
The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. BY Matt Swann The rise of ...
How can artificial intelligence help detect fraud? Artificial Intelligence can play a crucial role in fraud management by detecting and preventing fraudulent activities. The global average rate of ...
Fraudulent activities within the financial services sector have escalated into a significant concern, with projections indicating that online payment fraud could result in losses exceeding $206 ...
In August, German banks froze over €10 billion in PayPal payments due to suspected fraud, a disruption that underscored the scale of growing financial security concerns. If even long-standing, trusted ...
Business fraud is real. According to a report by the Association of Certified Fraud Examiners, “U.S. Businesses will lose an average of 5% of their gross revenues to fraud.” One of the most common ...
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