Banks and insurers are already employing machine learning in a number of areas, such as money laundering and fraud detection and in analyses used in lending processes, so mainly in risk management. Companies are also using ML methods in sales and product pricing.
ML is used only occasionally in internal Pillar 1 risk models, but some banks and insurers see great promise in using it. Already, ML is being used as an aid to validate internal models.