Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366228214> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4366228214 endingPage "788" @default.
- W4366228214 startingPage "777" @default.
- W4366228214 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 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." @default.
- W4366228214 created "2023-04-19" @default.
- W4366228214 creator A5071306396 @default.
- W4366228214 creator A5088462433 @default.
- W4366228214 date "2023-11-01" @default.
- W4366228214 modified "2023-10-16" @default.
- W4366228214 title "Democratizing artificial intelligence: How no-code AI can leverage machine learning operations" @default.
- W4366228214 cites W1901616594 @default.
- W4366228214 cites W2095422038 @default.
- W4366228214 cites W2517842678 @default.
- W4366228214 cites W2919115771 @default.
- W4366228214 cites W2963130197 @default.
- W4366228214 cites W2969625533 @default.
- W4366228214 cites W2969824238 @default.
- W4366228214 cites W3112432086 @default.
- W4366228214 cites W3119357010 @default.
- W4366228214 cites W3128428692 @default.
- W4366228214 cites W3139152265 @default.
- W4366228214 cites W3173148850 @default.
- W4366228214 cites W3177667502 @default.
- W4366228214 cites W3181262202 @default.
- W4366228214 cites W3197578004 @default.
- W4366228214 cites W3200943004 @default.
- W4366228214 cites W3202461888 @default.
- W4366228214 cites W3214286331 @default.
- W4366228214 cites W3216429315 @default.
- W4366228214 cites W4220926968 @default.
- W4366228214 cites W4285158860 @default.
- W4366228214 cites W4291288469 @default.
- W4366228214 cites W4303578954 @default.
- W4366228214 doi "https://doi.org/10.1016/j.bushor.2023.04.003" @default.
- W4366228214 hasPublicationYear "2023" @default.
- W4366228214 type Work @default.
- W4366228214 citedByCount "1" @default.
- W4366228214 crossrefType "journal-article" @default.
- W4366228214 hasAuthorship W4366228214A5071306396 @default.
- W4366228214 hasAuthorship W4366228214A5088462433 @default.
- W4366228214 hasBestOaLocation W43662282141 @default.
- W4366228214 hasConcept C10138342 @default.
- W4366228214 hasConcept C115903868 @default.
- W4366228214 hasConcept C119857082 @default.
- W4366228214 hasConcept C144133560 @default.
- W4366228214 hasConcept C153083717 @default.
- W4366228214 hasConcept C154945302 @default.
- W4366228214 hasConcept C177264268 @default.
- W4366228214 hasConcept C199360897 @default.
- W4366228214 hasConcept C199519371 @default.
- W4366228214 hasConcept C2522767166 @default.
- W4366228214 hasConcept C26517878 @default.
- W4366228214 hasConcept C2767350 @default.
- W4366228214 hasConcept C2776760102 @default.
- W4366228214 hasConcept C2777904410 @default.
- W4366228214 hasConcept C2778775528 @default.
- W4366228214 hasConcept C38652104 @default.
- W4366228214 hasConcept C41008148 @default.
- W4366228214 hasConcept C56739046 @default.
- W4366228214 hasConceptScore W4366228214C10138342 @default.
- W4366228214 hasConceptScore W4366228214C115903868 @default.
- W4366228214 hasConceptScore W4366228214C119857082 @default.
- W4366228214 hasConceptScore W4366228214C144133560 @default.
- W4366228214 hasConceptScore W4366228214C153083717 @default.
- W4366228214 hasConceptScore W4366228214C154945302 @default.
- W4366228214 hasConceptScore W4366228214C177264268 @default.
- W4366228214 hasConceptScore W4366228214C199360897 @default.
- W4366228214 hasConceptScore W4366228214C199519371 @default.
- W4366228214 hasConceptScore W4366228214C2522767166 @default.
- W4366228214 hasConceptScore W4366228214C26517878 @default.
- W4366228214 hasConceptScore W4366228214C2767350 @default.
- W4366228214 hasConceptScore W4366228214C2776760102 @default.
- W4366228214 hasConceptScore W4366228214C2777904410 @default.
- W4366228214 hasConceptScore W4366228214C2778775528 @default.
- W4366228214 hasConceptScore W4366228214C38652104 @default.
- W4366228214 hasConceptScore W4366228214C41008148 @default.
- W4366228214 hasConceptScore W4366228214C56739046 @default.
- W4366228214 hasIssue "6" @default.
- W4366228214 hasLocation W43662282141 @default.
- W4366228214 hasOpenAccess W4366228214 @default.
- W4366228214 hasPrimaryLocation W43662282141 @default.
- W4366228214 hasRelatedWork W1522019333 @default.
- W4366228214 hasRelatedWork W2036521351 @default.
- W4366228214 hasRelatedWork W2135968687 @default.
- W4366228214 hasRelatedWork W2149635184 @default.
- W4366228214 hasRelatedWork W2383994331 @default.
- W4366228214 hasRelatedWork W2517007886 @default.
- W4366228214 hasRelatedWork W3025557260 @default.
- W4366228214 hasRelatedWork W4250385364 @default.
- W4366228214 hasRelatedWork W4282830668 @default.
- W4366228214 hasRelatedWork W4312763760 @default.
- W4366228214 hasVolume "66" @default.
- W4366228214 isParatext "false" @default.
- W4366228214 isRetracted "false" @default.
- W4366228214 workType "article" @default.