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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

AI and Hyper-Personalization for the Insurance Industry

Artificial intelligence impacts personalization for insurance through predictive analytics that can be used to tailor insurance offerings to individual policyholders

For Asia’s Insurance Sector, It’s Digitize or Die

Asia’s insurance sector is at the front line of new era of wealth generation - the winners will be the insurers that have their digital transformation “house" in order

How to Increase Claims Processing Automation – 5 Questions to Ask

Automating claims processing right can help you reduce costs, improve outcomes, and assure patient and stakeholder satisfaction - here's how to think about it

How to Improve Patient Centricity for Commercial Health Plans

The advantages of a holistic, member-centric approach to healthcare are clear - as are the impacts of the failure to achieve member centricity

Business Simulation for Insurance: Best Practices and Getting Started

Business simulation can provide both the experimentation and the guardrails helping insurance companies explore multiple paths to success

Advancing the Science of Optimization: FICO & Zuse Institute Berlin

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

Claims Automation for Health Plans: Transformation with a Small “t”

By focusing on transformation with a small “t” that addresses measurable performance gaps, health plans and administrators can use claims automation to control costs and risk

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

Explainable Machine Learning for Probability of Default Calculations

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

How Transaction Analytics Transform Lending Speed and Results

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

Improving IRB and RWA Calculations with Machine Learning

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

Does the EU Framework for Responsible AI Go Far Enough?

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

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!

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