Data experts with Treasury, the GAO and the Pandemic Response Accountability Committee say AI and data analytics can be used ...
Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...
Transparency is another priority. Given the decentralized and trust-based nature of Web3.0, the expert emphasizes ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
In a market accelerating toward instant payments and open banking, a siloed approach to fraud detection is no longer viable.
The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
2025 NOV 05 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on Machine Learning have been presented. According to news reporting from Hong Kong, ...
AtData, a leading innovator in email address intelligence and digital trust solutions, is introducing Gibberish Detection, a new machine learning-driven model in its fraud prevention suite that ...
Ravelin, a machine learning fraud detection company based in London, has raised approximately $3.7 million (£3M) in funding to support its growing global client base. The finance round was led by ...
Equifax Obtains New Patents, Enabling Responsible AI, Machine Learning, Fraud and Identity Solutions
Equifax (NYSE: EFX) has secured 35 new patents in the first half of 2025. These new patents, which bring the number of Equifax issued or pending patents to nearly 650 patents spanning 15 countries, ...
Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback