How does progress in artificial intelligence stack up to the FICO credit score model?

Blending artificial intelligence, machine learning and domain expertise in the design of credit scores - a video discussion with Agus Sudjianto

What are the strategies that are reshaping the battle against prepaid card fraud within the realm of mobile wallets?

Our recent global survey reveals the investment priorities and functionality requirements for enterprise-level fraud solution buyers

Measuring the right things matters - if fraud reduction comes at a cost to customer experience, you may have the wrong fraud KPIs

After 65 Years, FICO (still) innovates and leads with our software solutions.

How FICO works with telecommunication providers to drive smarter, more personal customer decisions and offers.

Thoughts on personal loans, consolidations and the auto industry.

How FICO works with lenders to improve the automotive lending experience

When designing a strategy for detecting and preventing fraud, everyone always comes to the same conclusion—there is no silver bullet.

Banks spend too much time trying to predict things, rather than mapping out how their people, processes, and technology will need to change if they are successful.

I’ve found that the banks that see the best return on their customer acquisition investments tend to be the ones that have also invested appropriately in their collections capabilities

With new customer acquisition costs spiraling out of control and nimble competitors trying to pick off profitable portions of your portfolios, there’s never been a more critical time to invest in customer management.

FICO Scores R&D has empirically investigated potential benefits and risks associated with using some of the latest AI and machine learning approaches for credit scoring.