Why a hybrid approach works best for AI in credit risk modelling
AI helps models look beyond quarterly reports, but CRO says governance curtails full automation
For decades, credit risk models have relied on traditional statistical techniques. While these approaches offer transparency and regulatory acceptance, they are increasingly challenged by complex borrower behaviour and large volumes of data, in the context of rapidly changing economic environments.
Artificial intelligence is therefore transforming credit risk modelling by introducing advanced
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