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.
Debunking the Top-3 Pooled Model Myths
Best Practices: Must-have checklist for winning pooled models
How Pooled Models Help You Say “Yes” To More Good Credit Applicants
Build Stronger, More Profitable Portfolios with Pooled Models that Drive Smarter Originations Decisions
Lenders Should Consider Using "Pooled Models" When Making Originations Decisions
Using pooled models in addition to bureau scores can help creditors make more precise, value-based decisions at the origination stage.
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
Build or Buy: Partnering in the Age of Model-Driven Organizations
Decision science and predictive analytics can enable businesses to make the most of all available data to anticipate customer needs and prescribe the best action.
Analytics Predictions 2019: Machine Learning & Data Efficiency
Adopting machine learning to enhance not just the accuracy of models but also drive efficiency is critical to amplify a key asset - the analytic team – and stay competitive.
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