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

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

These are the top challenges for health plan executives in claims processing and the innovative trends that are helping them adapt, improvise, and overcome

From table stakes to wild cards, use these additional data sources to drive hyper-personalized insurance offers and precision risk assessment

A meshed API architecture and a composable set of capabilities can help you restructure and reduce technical debt

A price elasticity model enables the product team to set deposit rates with a sound understanding of the expected performance from the rate strategy

Executives, digital innovators, DevOps leaders, and line of business leaders should embrace a composable business model to gain agility and other benefits

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.

How are advances in artificial intelligence and machine learning changing credit risk assessment? That’s a topic I’ll be exploring in three presentations at FICO World 2018.

What should you expect to gain from deposit price elasticity models and what can you do with them to maximize benefit to the business?

Want to know which consumers will more likely default when they encounter an unpredicted financial stress situation in the future? Traditional risk scores won’t give you the full picture.