JUERGEN RAHMEL | Chief Digital Officer, HSBC Germany

Artificial intelligence (AI) and machine learning (ML) are gaining more and more traction in finance and asset management. But AI/ML is a complex tool that requires specific skills to be created, trained, and interpreted well for a given task. In this paper, we discuss some of the context parameters to be considered in order to apply AI beneficially in financial settings. We explore a matrix of use-cases, following the lifecycle of asset management and structured by the type of underlying AI technology. As AI requires human setup and interpretation, we briefly review the role of us ‘humans-in-the-loop’ of AI implementations. Finally, the emerging field of asset tokenization promises to disrupt the conventional markets and market practices, opening up for a new field of AI applications to tackle the new way of trading and servicing securities. The AI game is on in asset management. Not to play is not an option.