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 ...

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

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

A fraud-detection AI model trained on COVID-19 loan data could have flagged potentially tens of billions of dollars in ...

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 ...

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

IIMs are offering free online courses in 2026 via the SWAYAM portal, covering AI, Machine Learning, Blockchain, Sales, and ...

The transaction monitoring market is expanding as financial institutions adopt AI- and analytics-driven solutions for real-time fraud detection, with the U.S. segment growing from USD 4.33 billion in ...

Standard Chartered Ventures and Fujitsu Limited have announced the roadmap for their quantum-powered project, Qubitra ...

With Qubitra, they intend to drive practical value by applying quantum approaches to some of the finance sector’s most ...

Data experts with Treasury, the GAO and the Pandemic Response Accountability Committee say AI and data analytics can be used ...