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

The next era of global digital transformation may offer cheaper, more accessible internet for all, improving banking for the developing world

Businesses threatened by data-driven disruptors need to adopt a similarly disruptive mind-set to ensure they stay relevant to their customers

The speed of 5G roll-out should make better data-driven decisioning a priority for multiple industries

During the COVID-19 pandemic, we can see that having fewer community banks hurts consumers in critical moments.

Over the next decade, the guiding ethos of fintech will evolve beyond 'move fast and break things'.

A conversation with Aite Group's Julie Conroy and Neuro-ID's Jack Alton.

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.

Financial services providers are under increasing pressure to acquire and retain profitable customers. FICO subject matter experts discuss strategies, tools, and KPIs for success in this lively exchange.

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.

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.