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

Trade-based money laundering is the process of disguising the proceeds of crime and moving value using trade transactions to legitimize their illicit origins

Three new success stories show how banks are using technology and best practices to fight AML in the pandemic

With all the expense pressures that AML programs face, corporations are seeking ways to reduce the regulatory burden, and top of mind is robotic process automation

Regulators will look to tighten up on financial crime next year

FICO and Crystal Blockchain of Bitfury Group announce partnership to deliver real-time crypto-currency risk management

Ørsted, the world's leading offshore wind farm developer, has used FICO® Xpress Optimization to develop a novel digital energy optimization solution.

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.

You can’t control the sun, the wind or the snow. But using predictive and prescriptive analytics, along with optimization algorithms, you can do the next best thing.

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.