I sat down with Chess Grandmaster Garry Kasparov to discuss the hot topics in the world of AI, and asked: Should we expect AI to make perfect decisions?

Hypnofraud refers to the success fraudsters are having with convincing people to give them their account data - but the fraud based on this can be detected and stopped.

The DM3 provides an accurate and actionable segmentation of users and businesses against their current capabilities, requirements, skills and end-state objectives.

FICO’s new machine learning models are much more sensitive to abnormal single transactions, allowing CNP fraud to be detected quickly.

Origination scores add significant value above and beyond the FICO® Score, which is based solely on the data found in a consumer’s credit bureau file.

Today’s post covers three categories of unsupervised learning that FICO has investigated, refined and put into our anti-money laundering (AML) solutions.

FICO's new CNP fraud detection models have been developed to detect fraudulent e-commerce fraud transactions as quickly as possible, to prevent significant fraud loss from an account.

Tax agency optimization provides significant revenue collection improvements by balancing resources between competing priorities and workloads.

This two-part blog unpacks the mysteries of two very different AI techniques: supervised and unsupervised learning.

In my new post on TechTarget's IoT Agenda, I explore how behavioral analytics could change driving for the better.