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 ...

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

The surge in digital payments and mobile banking has transformed financial services but it has also expanded the fraud landscape. Traditional, rule-based fraud detection methods are increasingly ...

Transparency is another priority. Given the decentralized and trust-based nature of Web3.0, the expert emphasizes ...

Digital transactions have emerged as a dominant force in today’s global commerce sector, empowering businesses and financial institutions like never before. However, at the same time, this transition ...

Payment disbursements are a critical component of modern commerce, but they also present a significant challenge: how to prevent fraud. Prateek Mehta, a payments expert and product manager at ...

Swift is planning to roll out new AI-enhanced fraud detection for the global payments industry. It will be available in January 2025. The new capability builds on Swift’s existing Payment Controls ...

There’s a lot of buzz surrounding machine learning and Deep Learning in particular. In this video presentation, Venkatatesh Ramanathan, talks about PayPal-Fraud Detection with H2O Deep Learning. He ...

Fraud and financial crime remain a significant challenge for UK businesses in 2025. From banks and fintech’s to retailers and telecom providers, organisations are working hard to stay ahead of ...