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

FICO's European Fraud Map for 2020 shows how the UK, Denmark and Hungary benefitted from tight controls - while many countries did not

The profusion of payment mechanisms may be confusing for consumers, and a goldmine for fraudsters

Toby Carlin examines a wave of Brexit scams and offers advice on how to spot, prevent, and report them

Nearly four out of five respondents from UK banks said that working from home had a high or major impact on the effectiveness of their financial crime prevention

European card fraud reduced by 2% across 18 countries studied - but there were winners and losers

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.