Orchestration logics for artificial intelligence platforms: From raw data to industry‐specific applications.

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Title: Orchestration logics for artificial intelligence platforms: From raw data to industry‐specific applications.
Authors: Weber, Michael1, mic.weber@tum.de, Hein, Andreas2, Weking, Jörg3, Krcmar, Helmut1
Source: Information Systems Journal; May2025, Vol. 35 Issue 3, p1015-1043, 29p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 184403907
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  Data: Orchestration logics for artificial intelligence platforms: From raw data to industry‐specific applications.
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  Data: <searchLink fieldCode="AU" term="%22Weber%2C+Michael%22">Weber, Michael</searchLink><relatesTo>1</relatesTo>, <i>mic.weber@tum.de</i><br /><searchLink fieldCode="AU" term="%22Hein%2C+Andreas%22">Hein, Andreas</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Weking%2C+Jörg%22">Weking, Jörg</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Krcmar%2C+Helmut%22">Krcmar, Helmut</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Information+Systems+Journal%22">Information Systems Journal</searchLink>; May2025, Vol. 35 Issue 3, p1015-1043, 29p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=184403907
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        Value: 10.1111/isj.12567
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      – Code: eng
        Text: English
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        PageCount: 29
        StartPage: 1015
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      – TitleFull: Orchestration logics for artificial intelligence platforms: From raw data to industry‐specific applications.
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            NameFull: Hein, Andreas
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              Text: May2025
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              Y: 2025
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