In the fast-changing digital world of today, payment security is more important than ever. As financial transactions become ...

As researchers unveil a groundbreaking machine learning approach that dramatically reduces fraud detection costs by generating accurate labels from imbalanced datasets, Interview Kickstart announces ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Director Bill Pulte termed “something big on mortgage fraud,” Fannie Mae yesterday said it has launched an AI-powered Crime ...

In an effort to secure its admissions and financial processes, Maricopa Community Colleges has partnered with A.M. Simpkins ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable ...

Businesses need to adopt Machine Learning (ML)-based, orchestrated fraud decisioning to combat escalating fraud losses and increasingly sophisticated attacks, according to Experian’s latest research ...

CLARA Analytics research shows that machine learning models can detect suspicious claims two weeks post-filing -- well ahead ...

CLARA Analytics, a provider of artificial intelligence technology for commercial insurance claims optimisation, has released ...

Public and private stakeholders-including Fannie Mae, FHFA, and Palantir-are leveraging technology and data-driven insights ...

Despite a decline in the number of reported bank frauds in 2024-25, the total value involved in these frauds has almost ...

The global machine learning market size is anticipated to reach $419,94-billion by 2030, registering a CAGR of 33,2% from 2025 to 2030, according to a new report by Grand View Research. The market is ...