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

In his interview for the podcast “Subject to”, FICO’s Timo Berthold discusses his career in computational optimization and mixed integer programming

FICO’s Claudio Gambella was a member of a team awarded at EURO 2024 for its work in mathematical optimization

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

FICO partners with Zuse Institute Berlin on critical research into mathematical optimization

The SEIO-BBVA prize for best applied contribution in operations research goes to a team including FICO’s Selene Silvestri

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

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

Two of Santa's reindeer are self-isolating - how can he make the flight with less speed? FICO optimization shows him how!

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.

The mathematical optimization community already has a clear set of standards for MIP benchmarking - these should be followed.

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.