AI without business context fails to drive supply chain decisions. Predictive models and control towers generate signals, but ...

Operational risk scenario analysis has existed for a long time. Why is it under more scrutiny now? Patrick Naim, Elseware: I wouldn’t describe it as scrutiny so much as more ambitious objectives for ...

Regulators' revised Basel operational risk capital framework makes it easier for the largest U.S. banks, known as Category I ...

Why industry leaders must look past the hype to the hard realities. Artificial intelligence is transforming banking at unprecedented speed — powering fraud detection, compliance automation, credit ...

Atkar: Not necessarily on operational risk. For instance, the recent Basel paper on the treatment of insurance to mitigate operational risks proposes arguably a more complicated approach than ...

The U.S. bank supervisory agencies recently issued for public comment revised guidance regarding the implementation of the proposed Basel II-related, risk-based capital requirements. Among the ...

Regulators around the world differ in their approach to model risk management (MRM) regulation – including their definitions of what a model is. While some are more prescriptive, others such as the UK ...

Boards formally treat model risk as important, but in practice many banks treat it as a compliance box-ticking exercise that only attracts senior attention when something visibly breaks or a regulator ...

Catastrophe risk software provider KatRisk has acquired RED, a specialist provider of catastrophe models, including earthquake, flood, landslide, and wind ...

Relying on one giant AI model for everything is a trap; it’s too expensive and slow for simple tasks and too risky for the hard stuff when things go wrong.