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Machine Learning for Efficient Decision and Task Support Systems

Artificial Intelligence (AI) and Machine Learning (ML) play increasingly important roles when it comes to decision aids, virtual assistants, task-support systems, and digital assistance systems.

ML systems get trained based on the experiences of their users, and after a short period of time, are in a position to make independent predictions of great accuracy. Often, the relevant knowledge is hidden in unstructured data and must first be tapped into by means of text analytics. In this workshop, we would like to show how, with the aid of text analytics and machine learning, routine intellectual tasks can be automated and how efficient decision and task support systems can be developed for different applications.