How to Protect Mobile Wallets from Prepaid Card Fraud
What are the strategies that are reshaping the battle against prepaid card fraud within the realm of mobile wallets?
Modelling Deposit Price Elasticity: What Is It All About?
A price elasticity model enables the product team to set deposit rates with a sound understanding of the expected performance from the rate strategy
Enterprise Fraud Solution Buyers Want More Agility, More Data
Our recent global survey reveals the investment priorities and functionality requirements for enterprise-level fraud solution buyers
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
Does Your Fraud Department Have the Right KPIs?
Measuring the right things matters - if fraud reduction comes at a cost to customer experience, you may have the wrong fraud KPIs
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
Got Enough Fraud… Models That Is?
When designing a strategy for detecting and preventing fraud, everyone always comes to the same conclusion—there is no silver bullet.
Modeling Deposit Price Elasticity: Where’s the Value?
What should you expect to gain from deposit price elasticity models and what can you do with them to maximize benefit to the business?
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