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

Movement Mortgage’s Anna Benz discusses the importance of FICO Scores in the credit ecosystem

Six pivotal reasons why accuracy is paramount in credit scoring for mortgage loans

How migrating to FICO® Score 10T can help you gain first-mover advantage on non-conforming mortgage loans

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

FICO® Scores: A critical element in cash flow analysis for proper valuation.

The value of asset-backed security is determined by the cash flows generated by the underlying assets and understanding the predictability of those cash flows

AI and other behavioral analytics can give you better, more actionable insights into customers' needs and risk

Azerbaijan's largest bank has started using FICO software to take an integrated approach to combating financial crime - money laundering and terrorist finance

Fraud and compliance must work together to put the customer at the heart of eKYC strategy

The availability of leaked documents such as the Paradise and Panama Papers provides an alternative source of data that can help identify suspicious organizations

The key to reducing false positives while detecting more money laundering and other financial crimes is to radically improve detection

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.

Due to all the fines and scandals in 2018, I am convinced that AI will play a more important role in financial crime compliance.

To comply with tax regulations, it is a must for a bank to check customers against these lists to avoid non-compliance, a damaged reputation and the support of illegal activity.