Prof. Dr. Marco Huber

In this discussion, Prof. Dr. Marco Huber, a time series forecasting expert from Fraunhofer IPA, and Marc Zöller, a Senior Machine Learning Engineer at GFT, delve into the world of AutoML. They highlight the significance of time series data in industrial automation and how their AutoSKTime tool innovatively integrates statistical and machine learning methods. Surprising insights reveal simple models can outperform complex ones in many scenarios. They also tackle challenges in scalability and usability for industry, emphasizing the role of AutoML in accelerating development.