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Practices and Infrastructures for ML Systems – An Interview Study in Finnish Organizations

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posted on 2022-05-10, 03:31 authored by Dennis MuiruriDennis Muiruri, Lucy Ellen Lwakatare, Jukka K. Nurminen, Tommi Mikkonen


Using interviews, we investigated the practices and toolchains for machine learning (ML)-enabled systems from 16 organizations across various domains in Finland. We observed some well- established artificial intelligence engineering approaches, but practices and tools are still needed for the testing and monitoring of ML-enabled systems. 


This work was partially funded by local authorities (Business Finland) under grant agreements ITEA-2019-18022-IVVES ITEA3 programme and ITEA-2021-20219-IML4E of ITEA4 programme


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Submitting Author's Institution

University of Helsinki

Submitting Author's Country

  • Finland

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