Machine learning analytics must be a critical part of a financial institution’s application fraud control strategy.

Want to learn why application fraud is on the rise? In this clip, I share insights into the three major drivers beyond the tremendous YoY growth rates.

Our new interactive European Fraud Map for 2017 reveals changes in payments fraud across Europe, and there's a good news for the UK.

I spoke with one of FICO’s principal scientists, Derek Dempsey, who shared how AI and machine learning are solving problems in application fraud.

FICO® Customer Communication Services (CCS) used to automate collections and achieve scale

To gain competitive advantage companies are using analytics to operationalize their data. This 2-part video blog shares 5 best practices for connecting data and analytics to business processes.

A new survey conducted by FICO and 72 Point, who polled 2,000 U.S. adults, found 81 percent don’t see the need for what they consider unnecessary security procedures.

Companies are being held accountable for the outcomes of their AI-based decisions, creating a need for explainable AI.

Machine learning in fraud detection performs better when we know the strengths and limitations of different analytic toolkits, and understand the factors that determine accuracy.

Analytics - including machine learning and optimization - is taking off in the auto manufacturing industry, and has the potential to go much further.

Statnett, the Norwegian transmission systems operator (TSO) for energy, is going to use FICO energy optimization technology to power their models of the future of electricity needs in Norway and optimize the current infrastructure.