Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...
Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot ...
Today’s fast-paced online world is underlined by systems that allow it to move that fast. Whether it’s the latest advancements to transport systems, faster internet connections, or more real-time ...
Fraud is a growing problem in the fintech ecosystem, with many firms suggesting that activity is on the rise. Is artificial ...
Fighting fraud is like playing a game of cat and mouse. But what if the 'mouse' could learn the cat's every move? Machine learning in fraud detection creates a system that constantly gets better at ...
Fraud is widespread in the United States and increasingly driven by technology. For example, 93% of credit card fraud now involves remote account access, not physical theft. In 2023, fraud losses ...
In this special guest feature, Padraig Stapleton, VP of Engineering at Argyle Data discusses how the use of machine learning can help mobile operators like Verizon, BT, and others use big data and ...
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 ...
As the perpetrators of accounting fraud become ever more sophisticated in their techniques, fraud detection needs to step up its game. Thankfully, a group of researchers have devised a new machine ...
2025 FEB 19 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Investigators publish new report on Machine Learning. According to news reporting originating in ...
The UK government's Department for Work and Pensions (DWP) has saved £4.4 million over three years by using machine learning to tackle fraud, according to the National Audit Office (NAO). However, the ...