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
Five Emerging Strategies for Healthcare Claims Processing in 2024
These are the top challenges for health plan executives in claims processing and the innovative trends that are helping them adapt, improvise, and overcome
Unlocking Hyper-Personalization: 20 Alternative Data Sources for Insurance
From table stakes to wild cards, use these additional data sources to drive hyper-personalized insurance offers and precision risk assessment
Why NOW Is the Time to Restructure Technical Debt
A meshed API architecture and a composable set of capabilities can help you restructure and reduce technical debt
Advancing the Science of Optimization: FICO & Zuse Institute Berlin
FICO partners with Zuse Institute Berlin on critical research into mathematical optimization
The Composable Enterprise: Trends & Benefits from Composability
Executives, digital innovators, DevOps leaders, and line of business leaders should embrace a composable business model to gain agility and other benefits
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!
Are We Being Too Sensitive about Price Sensitivity?
The view that pricing optimisation outcomes focus squarely on a customer’s price sensitivity may be short-sighted.
Fair Pricing with Price Optimisation
Some people believe that the application of price optimisation takes advantage of price-insensitive customers. In fact, a powerful pricing engine is more necessary than ever.
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.
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