Prof. Dr. Frank Hutter and Prof. Dr. Marco Huber discuss democratizing machine learning, benefits of AutoML, limitations and solutions for Time Series data, exploring AutoML tools and AI augmented R&D, and future plans for upcoming events.

Simon Dürr from Porsche and Prof. Dr. Marco Huber discuss the optimization of production planning using Bayesian networks. They delve into incorporating customer behavior and market variations, the creation and reinforcement learning of network structures, and the challenges of implementation in a large organization. They also highlight the importance of plant orders and the potential application in other industries.