MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases (WAIN'21 - - 1st Workshop on AI Engineering

Who

Tuomas Granlund, Aleksi Kopponen, Vlad Stirbu, Lalli Myllyaho, Tommi Mikkonen

Track

WAIN'21

Time Zone

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When

Sun 30 May 2021 16:50 - 17:10 at WAIN Room - Session 2: Engineering Trustworthy AI Systems Chair(s): Aneta Vulgarakis

Link to Preprint

https://arxiv.org/abs/2103.08937

Tuomas Granlund

Aleksi Kopponen

Vlad Stirbu

Lalli Myllyaho

Tommi Mikkonen

University of Helsinki

Media

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

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Session Program

Sun 30 May
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16:30 - 17:30	Session 2: Engineering Trustworthy AI SystemsWAIN'21 at WAIN Room Chair(s): Aneta Vulgarakis Ericsson, SE

16:30 20m Full-paper		Robust Machine Learning in Critical Care - Software Engineering and Medical Perspectives WAIN'21 Miroslaw Staron University of Gothenburg, Helena Odenstedt Herges Pre-print Media Attached
16:50 20m Full-paper		MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases WAIN'21 Tuomas Granlund , Aleksi Kopponen , Vlad Stirbu , Lalli Myllyaho , Tommi Mikkonen University of Helsinki Pre-print Media Attached
17:10 10m Short-paper		Towards Risk Modeling for Collaborative AI WAIN'21 Matteo Camilli Free University of Bozen-Bolzano, Michael Felderer University of Innsbruck, Andrea Giusti , Anna Perini Fondazione Bruno Kessler, Barbara Russo Free University of Bolzano, Angelo Susi Fondazione Bruno Kessler Pre-print Media Attached
17:20 10m Short-paper		Practices for Engineering Trustworthy Machine Learning Applications WAIN'21 Alex Serban Radboud University, Koen van der Blom , Holger Hoos , Joost Visser Leiden University Pre-print Media Attached

Information for Participants

Sun 30 May 2021 16:30 - 17:30 at WAIN Room - Session 2: Engineering Trustworthy AI Systems Chair(s): Aneta Vulgarakis

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