Overview: AI-powered credit scoring uses advanced data analysis and machine learning to assess borrower risk more accurately than traditional models.Modern loan ...

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

MFIs rely on standardized interest rate systems that treat borrowers uniformly, regardless of the individual likelihood of ...

How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.

This issue of The Journal of Risk Model Validation features two papers that directly address validation using machine learning. Whether their findings imply we will all (including the editor) become ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

What impressed judges was not only the sophistication of the underlying models, but also Bloomberg’s consistent demonstration ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

Recall Labs, a firm that has run 20 or so AI trading arenas, pitted foundational large language models (LLMs) against customized trading agents.

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...

Equifax (NYSE: EFX) secured 27 patents in the second half of 2025, bringing the total number of patents secured for the year ...

Banking - To accelerate its digital transformation in Romania, Nexent Bank chose SAS, the global leader in data and AI, to ...