While monitoring the technical progress, we are currently discovering further use cases and defining our AI foundation, strategy, organisation and processes. Here is a list of examples, which is by no means exhaustive: In risk management, neural networks assess and evaluate the financial soundness of the markets.
Market research is supported by adopting web mining techniques and machine learning in content analysis, topic modelling and clustering of relevant articles. In statistics, machine learning enables new methods for data quality management, eg in the context of securities holdings or the classification of company data. Furthermore, the informational content of seasonality tests is assessed by a random forest machine learning technique.