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Andreas Metzger spricht über KI-basierte Ansätze für Informationssysteme

Die International Conference on Advanced Information Systems Engineering (CAiSE) behandelt neue Forschungsthemen und kontroverse Positionen im Bereich des Engineerings von Informationssystemen. In diesem Jahr legt die Konferenz einen besonderen Schwerpunkt auf das Thema „Responsible Information Systems“.

Dr. Andreas Metzger aus der Gruppe Software Systems Engineering ist mit zwei Vorträgen an der CAiSE beteiligt. Zum einen hält er die Keynote „Data-diven AI for Self-adaptive Information Systems“ zum FAISE Workshop (Flexible Advanced Information Systems). Näheres zum Inhalt finden Sie im Abstract unten. Außerdem präsentiert er am letzten Konferenztag Ergebnisse aus aktuellen Forschungsprojekten der Gruppe SSE. Der Beitrag trägt den Titel „Proactive Process Adaptation using Deep Learning Ensembles“.


Data-driven AI for Self-adaptive Information Systems

Artificial Intelligence (AI) offers tremendous potential to benefit citizens, economy and society. From an industrial point of view, AI means algorithm-based and data-driven information systems that provide machines and people with digital capabilities such as perception, reasoning, learning and even autonomous decision making. AI thereby facilitates information systems to draw conclusions, learn, adapt and adjust parameters accordingly. With recent advances in special-purpose hardware and machine learning algorithms, AI is capable of capturing more and more complex problems. This talk will explore the opportunities that AI offers in building self-adaptive information systems. On the one hand, it will present how ensembles of deep neural networks support proactive decision making for business process execution. On the other hand, it will present how reinforcement learning may be employed to build self-learning information systems. These systems learn from every interaction with their environment in order to dynamically improve themselves during operations. The talk closes with a critical look at the challenges entailed in delivering responsible AI-based information systems.


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