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The potential of Artificial Intelligence in academic research at a Digital University

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dc.contributor.authorExner-Stöhr, Melanie
dc.contributor.authorKopp, Alexander
dc.contributor.authorKühne-Hellmessen, Leonhard
dc.contributor.authorOldach, Lukas
dc.contributor.authorRoth, Daniela
dc.contributor.authorZimmermann, Alfred
dc.contributor.editorRossmann, Alexander
dc.contributor.editorZimmermann, Alfred
dc.date.accessioned2017-06-08T07:25:17Z
dc.date.available2017-06-08T07:25:17Z
dc.date.issued2017
dc.description.abstractSteady growing research material in a variety of databases, repositories and clouds make academic content more than ever hard to discover. Finding adequate material for the own research however is essential for every researcher. Based on recent developments in the field of Artificial Intelligence and the identified digital capabilities of future universities a change in the basic work of academic research is predicted. This study defines the idea of how Artificial Intelligence could simplify academic research at a Digital University. Today’s studies in the field of AI spectacle the true potential and its commanding impact on academic research.
dc.identifier.isbn978-3-88579-666-4
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofDigital Enterprise Computing (DEC 2017)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-272
dc.subjectArtificial Intelligence
dc.subjectAcademic Research
dc.subjectDigital Strategy
dc.subjectDigital Capabilities
dc.subjectDigital University
dc.titleThe potential of Artificial Intelligence in academic research at a Digital University
gi.citation.endPage65
gi.citation.startPage61
gi.conference.dateJuly 11-12, 2017
gi.conference.locationBöblingen

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P272 - DEC 2017 - Digital Enterprise Computing