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

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

How the FICO Platform can enable explainable machine learning models for more effective PD calculations

Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending

Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.

Whilst the EU have rightly focused on the use of AI and data science strategic leadership, more needs to be done on AI explainability

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

FICO’s capabilities in a broad range of anti-fraud functions resulted in consistently good scores across the defined categories for the Chartis enterprise fraud report.

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

Enterprises need an identity fraud solution that meets the dynamic challenges of digital maturation, threat landscape and emerging authentication data.