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

Survey demonstrates need for advanced analytic solutions to accelerate lending and simplify delivery

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

Bridging the expectation gap through decision planning to improve the customer experience

Using digital collaboration to play your best hand

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.

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.

The idea of reducing the friction between customer need and targeted product offering is nothing new, but clearly the thought of a dialog-based interaction replacing the traditional application form is quite appealing.