There has been a lot of discussion about the importance of good health and well-being, especially as the world population rises and at the same time life expectancy is increasing. The fast-growing cost of acute care are pushing the healthcare systems worldwide to a limit. So, healthcare increasingly places great emphasis on enhancing well-being to prevent illness rather than sporadically treating acute illnesses. The IoT has great potential to support good health and well-being. With smart electronic devices, either worn on the body or even installed at home, it is possible to measure people’s fitness and health status and trigger appropriate actions. Here, data mining, algorithms, machine learning and artificial intelligence play a central role so these topics have received a lot of attention in medical research recently. This is what we want to talk about with our guest today. Professor Björn Eskofier is heading the Machine Learning and Data Analytics Lab of the Friedrich-Alexander-Universität Erlangen-Nuremberg. Currently, this lab has about 50 co-workers in the field of machine learning and signal analysis for wearable computing systems with a focus on sports and healthcare.