Ivan-Daniel Sievering
Data Scientist
Innovation
(Alumni)
Ivan-Daniel joined the SDSC Innovation team in September 2022, where he works as a Data Scientist. He obtained an MSc in Robotics (2022) from EPFL and holds a BSc in Microengineering (2019), also from EPFL. His main fields of interest are Machine Learning, Computer Vision, and animal locomotion modeling.
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Qlaire: Enhance Quality Management with generative AI
Qlaire enables Bühler's quality experts to rapidly access knowledge from issues texts. This leads to faster resolution of issues, easier retrieval of existing solutions, more efficient identification of quality hotspots, and a deeper understanding of quality concerns.
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