logseq/pages/@Democratizing artificial intelligence%3A How no-code AI can leverage machine learning operations.md

date:: 4/2023 issn:: 00076813 doi:: 10.1016/j.bushor.2023.04.003 title:: @Democratizing artificial intelligence: How no-code AI can leverage machine learning operations pages:: S0007681323000502 item-type:: journalArticle access-date:: 2023-05-17T09:30:33Z original-title:: Democratizing artificial intelligence: How no-code AI can leverage machine learning operations language:: en url:: https://linkinghub.elsevier.com/retrieve/pii/S0007681323000502 short-title:: Democratizing artificial intelligence publication-title:: Business Horizons journal-abbreviation:: Business Horizons authors:: Leif Sundberg, Jonny Holmström library-catalog:: DOI.org (Crossref) links:: Local library, Web library

• Abstract
  • 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 Journal Pre-proof 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.
• Attachments
  • Sundberg e Holmström - 2023 - Democratizing artificial intelligence How no-code.pdf {{zotero-imported-file GCSEEXQP, "Sundberg e Holmström - 2023 - Democratizing artificial intelligence How no-code.pdf"}}