FATF’s Fraud Roadmap Expands Data Risks And Global Surveillance

FATF wants larger datasets and real-time information sharing to fight fraud, but surveillance heavy compliance has not ...

Retailers are calling on AI to stop customer return fraud

Retailers are implementing AI through software companies like Happy Returns and Narvar to detect return fraud and issue ...

Inside the Effort to Turn Bank Dispute Resolution Into an AI Problem

Explore how AWS Senior Solutions Architect Adarsh Naidu utilizes machine learning and cloud architecture to modernize dispute ...

How to automate expense management with AI

Ramp reports that AI expense management automates receipt processing, categorization, and policy enforcement, saving time, ...
Opinion
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Combating mobile money/digital fraud in Ghana: Strategies for securing digital payments

By Dr. Richmond Atuahene1.0 Introduction/ BackgroundGlobalization and digitization are two major trends that will shape the future of nations. Despite the many challenges associated with adapting to ...
IEEE

Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions

Abstract: Deep learning (DL), a branch of machine learning (ML), is the core technology in today’s technological advancements and innovations. Deep learning-based approaches are the state-of-the-art ...
IEEE

Using Variational Auto Encoding in Credit Card Fraud Detection

Abstract: Machine learning approaches are widely used to analyze and detect the increasingly serious problem of credit card fraud. However, typical credit card datasets present imbalanced ...