Machine learning in AI Factories - five theses for developing, managing and maintaining data-driven artificial intelligence at large scale. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Taras_Holoyad>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Thomas_Schmid_0003>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Wolfgang_Hildesheim>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1515%2Fitit-2023-0028>
foaf:homepage	<https://doi.org/10.1515/itit-2023-0028>
dc:identifier	DBLP journals/it/HildesheimHS23 (xsd:string)
dc:identifier	DOI doi.org%2F10.1515%2Fitit-2023-0028 (xsd:string)
dcterms:issued	2023 (xsd:gYear)
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rdfs:label	Machine learning in AI Factories - five theses for developing, managing and maintaining data-driven artificial intelligence at large scale. (xsd:string)
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swrc:pages	218-227 (xsd:string)
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dc:title	Machine learning in AI Factories - five theses for developing, managing and maintaining data-driven artificial intelligence at large scale. (xsd:string)
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