Machine learning and AI have multiple uses in banking, ranging from process optimisation, fraud and sentiment analytics, to portfolio optimisation and asset liability management tools.
The resulting applications are characterised by a high level of resilience and robustness, as required by the clients, counterparties and regulators.
