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?
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
Debt Collection in the Pandemic: Compassion Is Critical to Success
A combination of pre-emptive portfolio analysis, carefully timed triggers and well-managed contact and self-cure options can help customers make it through this difficult period
Mobile Money: African Tech Start-Ups Catch Investors' Eyes
The mobile money revolution started in Africa with Vodafone and M-Pesa is picking up momentum
Risk Model Management: 8 Factors for Reassessing ECL
It's time to review your expected credit loss models and impairment analysis as part of sound model management
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.
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