One use for AI in finance is fraud detection. To fight new methods of identity theft, increasingly aggressive fraud detection ...

The paper concludes that Precision and Recall must be the minimum reporting standard, and confusion matrices should always ...

Market opportunities in agentic AI include enhancing fraud detection, leveraging reinforcement learning for adaptive decision-making, and prioritizing AI in financial services. Executives are focusing ...

The most convincing media you see online could be an AI-generated fake. Last May, nefarious marketers used deepfake tech to steal the likenesses of famous people, running ads online and making it ...

AI and ML algorithms rely heavily on vast data for training and development. However, the availability of high-quality, diverse, and secure data can be a significant challenge. In fact, upon not being ...

A surge in digital payment technologies has been paralleled by an equally rapid increase in credit card fraud. This research field explores multifaceted approaches that combine advanced analytics, ...

In online advertising, it’s only getting harder to know who’s actually looking at what. The digital marketing ecosystem operates on impressions and clicks, generating micro transactions each time ...

Liveness detection is a biometric security feature designed to determine whether the biometric data, such as a facial image, ...

In an era where authenticity is as valuable as the vintage itself, the wine industry faces a pressing challenge: wine fraud. The deceitful practice, costing millions annually, undermines consumer ...