How Hyper-Personalized Communications Can Stop Scams
Waiting for your regulator to require improved customer communications on scams places you at risk of distinct competitive disadvantage vis-à-vis your competitors
How to Fight Scams Through Better Classification and Effective Tagging
Defining and understanding different scam typologies yields results when identifying and preventing authorized push payment fraud
Will Brazil’s New Scams Regulation Drive Change in Latin America?
Latin America needs to get ready for the consequences of the growth of real-time payments
APP Fraud: Get Ready Now for Global Scams Regulations
As regulators around the world roll out new rules to deal with APP fraud, these four tips can help payment service providers adapt to the new fraud prevention regimes
Explainable Machine Learning for Probability of Default Calculations
How the FICO Platform can enable explainable machine learning models for more effective PD calculations
How Transaction Analytics Transform Lending Speed and Results
Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending
Improving IRB and RWA Calculations with Machine Learning
Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.
Does the EU Framework for Responsible AI Go Far Enough?
Whilst the EU have rightly focused on the use of AI and data science strategic leadership, more needs to be done on AI explainability
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