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Title:

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

Document type:
Zeitschriftenaufsatz
Author(s):
Weber, Michael; Hein, Andreas; Weking, Jörg; Krcmar, Helmut
Abstract:
Artificial intelligence (AI) platforms face distinct orchestra-tion challenges in industry-specific settings, such as theneed for specialised resources, data-sharing concerns, het-erogeneous users and context-sensitive applications. Thisstudy investigates how these platforms can effectivelyorchestrate autonomous actors in developing and consum-ing AI applications despite these challenges. Through ananalysis of five AI platforms for medical imaging, we identifyfour orchestration logics: platform...     »
Journal title:
Information Systems Journal
Year:
2024
Fulltext / DOI:
doi:10.1111/isj.12567
Publisher:
Wiley
E-ISSN:
1350-1917; 1365-2575
Date of publication:
07.11.2024
CC license:
by, http://creativecommons.org/licenses/by/4.0
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