Enterprise fraud management can break down fraud prevention operational silos so that fraud and abuse can be tackled at the customer level, rather than just the account level

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

Understand the impact of PSD3 and the key changes it creates for fraud prevention specialists

Fraudsters adapt rapidly, always on the lookout for new ways to exploit weaknesses in fraud defences and find new routes to their victims. How can fraud teams respond?

As real-time payments continue to grow globally, authorized push payment fraud scams follow. making intervention imperative

Traditional fraud protection methods may not be effective in protecting the unbanked and underbanked population - a more careful approach is needed

Scam regulations in Hong Kong, Singapore and Australia underline the need for action on the part of lenders and telcos

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

FICO has helped Santa deliver this Christmas - the next step in decision management is to see how he could do better next year

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.

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.