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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

How to Get Better Results from Your ‘Lift and Shift’ Project

Moving to a ‘Lift, Shift and Enhance’ strategy can deliver substantial growth and future-proof your operation

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.

Data-Driven Strategies: Looking Beyond the Commonplace

In this post, I explore the benefits of applying data-driven techniques to strategy design.

How to Rate Trade Credit Risk – Without Much Data

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