Collecting and evaluating structured data using classical Machine Learning algorithms to explore and visualize trends, detect outliers or to make predictions.
Building state of the art Deep Learning models to understand and to analyze all sorts of structured data, images or text.
Deploying models using various cloud platforms or Docker images which can run for example on Kubernetes clusters on premise.