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

Movement Mortgage’s Anna Benz discusses the importance of FICO Scores in the credit ecosystem

Six pivotal reasons why accuracy is paramount in credit scoring for mortgage loans

How migrating to FICO® Score 10T can help you gain first-mover advantage on non-conforming mortgage loans

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

FICO® Scores: A critical element in cash flow analysis for proper valuation.

The value of asset-backed security is determined by the cash flows generated by the underlying assets and understanding the predictability of those cash flows

Naomi Palmer, a fraud consultant at FICO, won silver in the ‘Team Player of the Year’ category

AI and other behavioral analytics can give you better, more actionable insights into customers' needs and risk

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.

My presentation on “Transparency by Design: An Explainable AI Approach to Credit Risk Scoring” discusses our application of recent machine learning technologies to challenge the US FICO® Score.

The National Board for Customer Disputes in Sweden have ruled that banks should be liable for so-called “push payment” fraud losses over a certain amount.

Counterfeit cards are relatively simple to spot. So how were the criminals in the European road tolls scheme successful?

How are advances in artificial intelligence and machine learning changing credit risk assessment? That’s a topic I’ll be exploring in three presentations at FICO World 2018.

Want to know which consumers will more likely default when they encounter an unpredicted financial stress situation in the future? Traditional risk scores won’t give you the full picture.