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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

FICO Named America's Best Mid-Sized Employer by Forbes Magazine

FICO recognized by Forbes for the third consecutive year

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

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.

FICO Honored in Forbes’ Best Mid-Sized Employers List for Second Year

Achieved high in the overall and IT, Internet, Software & Services category

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

Coronavirus (COVID-19) Update

At FICO, our top priority is the health and safety of our employees, clients, partners and the communities where we live and work.

How to Rate Trade Credit Risk – Without Much Data

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