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
Managing the Corona Debt Tsunami - The Experts Speak
Collections professionals discuss the challenges they face in the current debt tsunami
Debt Relief Considerations After COVID-19 – Don’t Panic!
Lessons learned from the 2008 global financial crisis can help guide collections and debt relief strategies now
Four Key Changes in Collections Since COVID-19 Struck
Digital collections, agility, consumer focus on analytics are priorities now as debt collectors deal with the pandemic
Digital Customer Communications and COVID-19
Collections teams are now responsible for more customers than ever — are they ready?
Is Your Collection Operation Stepping Up to the Pandemic Challenge?
Beyond short-term impacts, portfolios, workforces and operating models are changing
Collections Analytics: Are We Missing the Credit Risk Revolution?
Taking up innovations used in credit risk management can pay off handsomely in collections & recoveries
Creative Ways to Help Vulnerable Customers
Can the banking industry match the innovative approaches used in utilities?
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