FICO surveyed securities investors in a range of industries — including mortgage, auto and commercial lending.

94% of attendees said that the event gave them an improved understanding of tools they needed to manage their finances better in the future.

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.

SABF brings together consumer advocates, credit educators and community leaders to help consumers learn about credit scores and financial tools to help them achieve their dreams.

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.

This blog explores the role credit scores have in the mortgage lending and automated underwriting process. This is particularly important for conforming mortgages or mortgages sold to government-sponsored enterprises (GSEs).

Can scoring trended data, or more accurately, trended credit bureau data, as some credit score companies claim, actually help expand credit access to these consumers?

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.