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

As consumer spending patterns change in the pandemic, fraudsters are changing to match

New communications tools must be combined with a focus on each borrower's financial circumstances, to identify vulnerable customers and how to manage them

Segmentation and new variables are among the COVID-19 banking recommendations

Bank Negara confirmed in July 2020 that banks and other financial institutions could deploy eKYC as part of the onboarding process.

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.

Cosmos Bank recently had $13.5 million siphoned off by hackers linked to the Lazarus Group in North Korea. These attacks emphasize the need for layered fraud defences and controls that effectively mitigate such risks.

Following a slide that lasted four+ years, the FICO® Credit Health Index for Russia began climbing in April 2016 and climbed another 2 points last quarter.

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.