From Fraud Detection to Fraud Creation: How AI Is Arming Both Banks and Criminals

AI is turning financial fraud into an arms race: banks use machine learning and network analytics to detect suspicious behaviour, while criminals deploy deepfakes, synthetic identities and ...
Finextra

AI and Machine Learning in Digital Wallets: From Fraud Detection to Personalized Finance

Launching a digital wallet today involves far more than enabling payments. As the digital wallet trends 2026 show high adoption of digital wallets, so do the challenges like increasingly sophisticated ...
Forbes

AI Applications In Fraud Detection In The Banking Industry

Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...
techtimes

Leveraging Machine Learning Algorithms to Combat Fraud in Supply Chain Operations

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

Beyond Notebook: Building Observable Machine Learning Systems

A unified ML management system requires careful orchestration of multiple components, from experiment tracking with MLflow to model serving with FastAPI. Interactive ...
Forbes

Beyond Detection: How Fraud Scoring Transforms Risk Management For Modern Banks

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase in volume and complexity, banks require intelligent systems that can assess risk with ...