Practices and Infrastructures for ML Systems – An Interview Study in Finnish Organizations
preprintposted 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 https://ivves.eu/ ITEA3 programme and ITEA-2021-20219-IML4E https://iml4e.org/ of ITEA4 programme
Email Address of Submitting Authordennis.email@example.com
ORCID of Submitting Author0000-0003-4823-4810
Submitting Author's InstitutionUniversity of Helsinki
Submitting Author's Country