Transparency is another priority. Given the decentralized and trust-based nature of Web3.0, the expert emphasizes ...

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Had it been around in 2020, it could have flagged tens of billions before payouts, PRAC tells Congress A fraud-detection AI ...

Discover how machine learning, a vital aspect of artificial intelligence, learns from data to enhance decision-making and ...

In a market accelerating toward instant payments and open banking, a siloed approach to fraud detection is no longer viable.

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

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 ...

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, ...

Speaking at Inc42’s 'The GenAI Summit', PhonePe CTO and cofounder Rahul Chari said while there is a lot of buzz around generative AI, people often confuse AI with GenAI Commenting on GenAI, Chari said ...

What’s driving the rise in digital fraud? The global payments landscape appears more dynamic and complex than ever before. As e-commerce spending accelerates toward an estimated $8.1 trillion by 2028, ...