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Enterprise Modeling...
Enterprise Modeling for Machine Learning : Case-Based Analysis and Initial Framework Proposal
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- Bork, Dominik (författare)
- TU Wien, Vienna, Austria
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- Papapetrou, Panagiotis, 1981- (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Zdravkovic, Jelena (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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(creator_code:org_t)
- Springer, 2023
- 2023
- Engelska.
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Ingår i: Research Challenges in Information Science: Information Science and the Connected World. - : Springer. - 9783031330797 - 9783031330803 ; , s. 518-525
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Artificial Intelligence (AI) continuously paves its way into even the most traditional business domains. This particularly applies to data-driven AI, like machine learning (ML). Several data-driven approaches like CRISP-DM and KKD exist that help develop and engineer new ML-enhanced solutions. A new breed of approaches, often called canvas-driven or visual ideation approaches, extend the scope by a perspective on the business value an ML-enhanced solution shall enable. In this paper, we reflect on two recent ML projects. We show that the data-driven and canvas-driven approaches cover only some necessary information for developing and operating ML-enhanced solutions. Consequently, we propose to put ML into an enterprise context for which we sketch a first framework and spark the role enterprise modeling can play.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Enterprise modeling
- Conceptual modeling
- Artificial intelligence
- Machine learning
- Model-driven engineering
- data- och systemvetenskap
- Computer and Systems Sciences
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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