The programme gives a working understanding of machine learning and generative models and then applies it to concrete banking uses, from client onboarding and credit processing to conversational assistance and alternative data scoring.
Fraud and financial crime detection are examined as the areas where these techniques currently deliver the most. Considerable attention is paid to the regulatory expectations that now surround such systems, including auditability, data protection, bias and the ability to explain a decision to a client.
The final sequence frames an AI project with the governance needed to get it approved. Participants leave able to tell a promising use case from an expensive one.
Who it is for
Business, digital and risk professionals evaluating AI use cases in a bank.