Evolving Landscape of Machine Learning Relative to the FICO® Score
How does progress in artificial intelligence stack up to the FICO credit score model?
FICO’s Leadership in Optimization – Interview with Timo Berthold
In his interview for the podcast “Subject to”, FICO’s Timo Berthold discusses his career in computational optimization and mixed integer programming
FICO Scientist Honored at Leading Operational Research Conference
FICO’s Claudio Gambella was a member of a team awarded at EURO 2024 for its work in mathematical optimization
Using Augmented Intelligence and Machine Learning in Credit Scoring
Blending artificial intelligence, machine learning and domain expertise in the design of credit scores - a video discussion with Agus Sudjianto
Advancing the Science of Optimization: FICO & Zuse Institute Berlin
FICO partners with Zuse Institute Berlin on critical research into mathematical optimization
FICO Fraud Expert Naomi Palmer Wins Women in Credit Award
Naomi Palmer, a fraud consultant at FICO, won silver in the ‘Team Player of the Year’ category
The Power of Optimization: Solving a Dire Water Access Problem
The SEIO-BBVA prize for best applied contribution in operations research goes to a team including FICO’s Selene Silvestri
The Santa Challenge 4: Fly with Fewer Reindeer!
Two of Santa's reindeer are self-isolating - how can he make the flight with less speed? FICO optimization shows him how!
FICO Score Research: Explainable AI for Credit Scoring
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.
MIP Benchmarking: Don't Abuse the Standards
The mathematical optimization community already has a clear set of standards for MIP benchmarking - these should be followed.
Explainable AI and the FICO Score
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.
Authorised Push Payment Fraud – The Liability Challenge
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.
How to Spot Counterfeit Cards — It Takes a Network
Counterfeit cards are relatively simple to spot. So how were the criminals in the European road tolls scheme successful?
FICO Scores, Artificial Intelligence and Machine Learning
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.
How New Risk Analytics Stress-Test Individual 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.
Take the next step
Connect with FICO for answers to all your product and solution questions. Interested in becoming a business partner? Contact us to learn more. We look forward to hearing from you.