FICO Xpress Optimization continues to push the limit of performance in optimization, delivering acceleration up to 5.7x in its MIP solver since 2020

Award-winning paper demonstrates the power of mathematical optimization and FICO Xpress to deliver sustainable, resilient energy solutions, solving an urgent need in South Africa

Price optimization is a data-driven process that uses prescriptive analytics, and advanced optimization software to determine the optimal pricing strategy

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

A data-driven optimization process expands opportunity, improves profitability, and reduces risk for communications service providers that offer device financing

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

To win an edge in the ultra-competitive telco marketplace, providers’ ability to harness the power of mathematical optimization and simulation is a key differentiator

Factors driving credit score decreases observed among student loan holders involved behaviors such as delinquency on credit products including bankcards, auto loans, and mortgages

5 key steps to winning using customer-centric loan pricing optimization

Research shows balance aggregation results in modest impact to FICO® Scores

Analysis identified modest impacts to FICO Scores from forbearance-related potential increases in mortgage balance.

Originate smarter, faster, safer, and more profitably with Machine Learning

The set-up of a score validation can greatly influence model performance results — and sometimes inflate them

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.