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Authors: Anderson Lima 1 ; Luciano Monteiro 1 and Ana Paula Furtado 1 ; 2

Affiliations: 1 CESAR School – Centro de Estudos e Sistemas Avançados do Recife, Recife, Pernambuco, Brazil ; 2 Departamento de Computação – Universidade Federal Rural de Pernambuco, Recife, Pernambuco, Brazil

Keyword(s): MLOps, Machine Learning, Continuous Delivery.

Abstract: Context: The development of machine learning solutions has increased significantly due to the advancement of technology based on artificial intelligence. MLOps have emerged as an approach to minimizing efforts and improving integration between those who are in the process of deploying the models in the production environment. Objective: This paper undertakes a systematic literature review in order to identify practices, standards, roles, maturity models, challenges, and tools related to MLOps. Method: The study is founded on an automatic search method of selected digital libraries that applies selection and quality criteria to identify suitable papers that underpin the research. Results: The search initially found 1,905 articles of which 30 papers were selected for analysis. This analysis led to findings that made it possible to achieve the objectives of the research. Conclusion: The results allowed us to conclude that MLOps is still in its initial stage, and to recognize that there is an opportunity to undertake further academic studies that will prompt organizations to adopt MLOps practices. (More)

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Paper citation in several formats:
Lima, A.; Monteiro, L. and Furtado, A. (2022). MLOps: Practices, Maturity Models, Roles, Tools, and Challenges – A Systematic Literature Review. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-569-2; ISSN 2184-4992, SciTePress, pages 308-320. DOI: 10.5220/0010997300003179

@conference{iceis22,
author={Anderson Lima. and Luciano Monteiro. and Ana Paula Furtado.},
title={MLOps: Practices, Maturity Models, Roles, Tools, and Challenges – A Systematic Literature Review},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2022},
pages={308-320},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010997300003179},
isbn={978-989-758-569-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - MLOps: Practices, Maturity Models, Roles, Tools, and Challenges – A Systematic Literature Review
SN - 978-989-758-569-2
IS - 2184-4992
AU - Lima, A.
AU - Monteiro, L.
AU - Furtado, A.
PY - 2022
SP - 308
EP - 320
DO - 10.5220/0010997300003179
PB - SciTePress

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