The potential uses of AI in finance are diverse, but there is still a trust gap between humans and technology. We therefore take a closer look at how AI not only leads to improved liquidity forecasts and automates processes, but also at the potential hurdles in integrating machine learning and how these can be overcome. How can people and technology work together to ensure that AI applications in the financial sector are not only effective, but also transparent and explainable in order to gain the trust of financial professionals?
