Did you ever wonder which Machine Learning models are running in your company and in which status they are? As the responsible manager do you really have the transparency that you need, given that the usage of AI & ML accelerates?
The application of AI & ML becomes increasingly common in the financial industry and so becomes the risk of using outdated models, double development, unclear ownerships for ML / AI components. This all leads to reputational & financial risks due
to malfunctioning or biased algorithms. Hence setting up a proper governance process will be a corner stone in your successful long-term journey with AI & ML.
Find below our thoughts how a Machine Learning Cockpit can be a first starting point to keep the overview over all models within your company including their status, ownerships & interdependencies.