What are the strategies that are reshaping the battle against prepaid card fraud within the realm of mobile wallets?

Our recent global survey reveals the investment priorities and functionality requirements for enterprise-level fraud solution buyers

How the FICO Platform can enable explainable machine learning models for more effective PD calculations

Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending

Measuring the right things matters - if fraud reduction comes at a cost to customer experience, you may have the wrong fraud KPIs

Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.

Whilst the EU have rightly focused on the use of AI and data science strategic leadership, more needs to be done on AI explainability

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

When designing a strategy for detecting and preventing fraud, everyone always comes to the same conclusion—there is no silver bullet.

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.

The directives are clear for all EU entities, and the lack of compliance in the recent Baltics case has hurt the bank's share price and reputation.