Debt Collection Strategies: Solve the 6 Toughest Challenges
More effective debt collection strategies using optimization create a strategic advantage that builds customer loyalty and drives long-term profitability
Collection Strategies: Best Practices for the Digital Age
Omni-channel communications, analytics and optimization are bringing greater targeting to debt collection strategies, improving results and customer relationships
CJEU Ruling Highlights the Need for Explainability in Analytics
Black box models will be even more difficult to justify after a recent European ruling - explainable AI and reason codes with credit scores are critical
Digitalization and Artificial Intelligence: 5 Keys to Success
Digitalization and artificial intelligence will radically change retail banking. What does this mean for banks?
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
Can Your Machine Learning Do the Lambada?
Machine learning is powerful, but beware of solutions that promote it as a magical ingredient
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