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Featured
10 February 2026
Machine learning model stability: Do Gradient Boosting Machines (GBMs) and Deep Neural Networks (DNNs) really degrade faster?

Machine learning models often outperform early, but what happens after go-live? We look at long-term performance of GBMs and DNNs using multi-year credit data.

Nick Sime
12 March 2026
Sample size and model choice: When GBMs outperform DNNs in credit risk
Nick Sime
06 March 2026
Smarter fraud and AML convergence: Escaping the silos
Ben Archer
04 March 2026
Geopolitical shocks and credit risk: Are your models ready?
Steve Finlay
10 February 2026
Machine learning model stability: Do Gradient Boosting Machines (GBMs) and Deep Neural Networks (DNNs) really degrade faster?
Nick Sime
06 February 2026
Tackling telecom-enabled fraud through smarter data collaboration
Ben Archer
27 January 2026
Managing model risk using next-gen model-governance infrastructures
Carl Ireland
23 January 2026
Smarter risk to unlock growth: turning regulatory intent into practical action
Steve Finlay
10 December 2025
The PRA’s AI roundtable: A governance reality check for UK banks
Carl Ireland
09 December 2025
Credit fraud trends shaping 2026 lending strategies
Ben Archer
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