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Democratizing artificial intelligence: how no-code AI can leverage machine learning operations
Umeå University, Faculty of Social Sciences, Department of Informatics.
Umeå University, Faculty of Social Sciences, Department of Informatics.
2023 (English)In: Business Horizons, ISSN 0007-6813, E-ISSN 1873-6068, Vol. 66, no 6, p. 777-788Article in journal (Refereed) Published
Abstract [en]

Organizations are increasingly seeking to generate value and insights from their data by integrating advances in artificial intelligence (AI) such as machine learning (ML) systems into their operations. However, there are several managerial challenges associated with ML operations (MLOps). In this article we outline three key challenges and discuss how an emerging form of AI platforms – ‘no-code AI’ – may help organizations to address and overcome them. We outline how no-code AI can leverage MLOps by closing the gap between business and technology experts, enabling faster iterations between problems and solutions, and aiding infrastructure management. After outlining important remaining challenges associated with no-code AI and MLOps we propose three managerial recommendations. By doing so, we provide insights into an important novel, emerging phenomenon in AI software and set the stage for further research in the area.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 66, no 6, p. 777-788
Keywords [en]
Artificial intelligence, Machine learning, No-code AI, MLOps, Operational AI
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:umu:diva-206856DOI: 10.1016/j.bushor.2023.04.003ISI: 001093008100001Scopus ID: 2-s2.0-85170233128OAI: oai:DiVA.org:umu-206856DiVA, id: diva2:1751678
Available from: 2023-04-19 Created: 2023-04-19 Last updated: 2024-08-23Bibliographically approved

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Sundberg, LeifHolmström, Jonny

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