Germany is at the forefront of Machine Learning (ML) research in Europe whether it is published papers or issued patents in the past decade. As a consequence, theoretically you would expect a lot of ML in our products across all industries and a certain maturity of the field in Germany. The reality is however different. ML is a “Neuland” for many companies here and we are not good at taking state-of-the-art research results into production. In this talk, we will present why this is the case and then show some recipes that we use at Axel Springer AI to solve this problem.
Speaker: Dat Tran