Composable Architectures: Why Now and What’s Next
Composable architectures are driving IT’s evolution by enabling greater flexibility, scalability and resilience
What Is Intelligent Feature Management? Why Is It Essential?
Intelligent feature management is a disciplined approach to identifying, creating, managing, and utilizing enriched data assets
Modelling Deposit Price Elasticity: What Is It All About?
A price elasticity model enables the product team to set deposit rates with a sound understanding of the expected performance from the rate strategy
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
How Avis Europe Uses Optimization to Make Real-Time Decisions
A case study in Business Intelligence shows some of the benefits Avis achieved using optimization to solve supply chain issues and make real-time decisions.
Modeling Deposit Price Elasticity: Where’s the Value?
What should you expect to gain from deposit price elasticity models and what can you do with them to maximize benefit to the business?
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