A full view of the customer journey is critical to detecting and preventing digital wallet fraud, as are enhanced communications and segmented strategies

The FICO European Fraud Map shows how Card Not Present fraud is rising across Europe, and why a unified approach to fighting fraud is vital

UK Finance’s Fraud Report 2025 shows changes in fraud typologies – underlying much of this shift is evolving techniques in social engineering

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

Money mules are causing significant problems across the globe. Organizations must take proactive steps to identify and disrupt them.

As bank fraud increases and more customers fall victim to scams, banks in Spain need to enhance fraud protection but not at the risk of damaging customer experience

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

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.