Payments risk management has evolved significantly, shifting from simple rules-based systems to sophisticated machine learning (ML) models that enable businesses to better detect and mitigate fraud.

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

Argyle Data, a leader in big data/machine learning analytics for mobile providers, has highlighted the role of supervised and unsupervised machine learning in detecting and preventing anomalous mobile ...

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

ML tailors banking solutions by analyzing transactions, spending habits, and financial goals. It detects fraud in real time, adapts to threats, and verifies customer identity behaviorally. AI chatbots ...

DataVisor announced the general availability of the DataVisor User Analytics Service, a solution that catches fraudulent user accounts at incubation stages for consumer-facing online services. The new ...