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
COVID-19 Checklist for Banks: 6 Changing Fraud Patterns
As consumer spending patterns change in the pandemic, fraudsters are changing to match
COVID-19 Checklist for Banks: Managing Vulnerable Customers
New communications tools must be combined with a focus on each borrower's financial circumstances, to identify vulnerable customers and how to manage them
COVID-19 Banking Checklist: 5 Risk Recommendations
Segmentation and new variables are among the COVID-19 banking recommendations
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
Creative Ways to Help Vulnerable Customers
Can the banking industry match the innovative approaches used in utilities?
Russian Credit Health Keeps Rising
Following a slide that lasted four+ years, the FICO® Credit Health Index for Russia began climbing in April 2016 and climbed another 2 points last quarter.
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