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Capabilities of Gen AI

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dc.contributor.authorSultanow, Eldar
dc.contributor.authorUlrich, Marc
dc.contributor.authorKamel, Zied
dc.contributor.authorSebrak, Sebastian
dc.contributor.authorPomaskow, Joanna
dc.contributor.authorGobinathan, Balaji
dc.contributor.authorCzarnecki, Christian
dc.contributor.authorChircu, Alina
dc.contributor.authorGrum, Marcus
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:14Z
dc.date.available2024-10-21T18:24:14Z
dc.date.issued2024
dc.description.abstractIn an era of rapid technological advancement, the field of Generative Artificial Intelligence (GenAI) has become a focus of innovation and exploration. While technologies, such as ChatGPT, have attracted significant attention, there remains an urgent need for a comprehensive capability map that describes the potential applications and value propositions of GenAI for enterprises and larger endeavors. This paper fills this gap by presenting a detailed capability map for GenAI, outlining its diverse applications and highlighting the untapped opportunities for utilizing these technologies in various fields. By explaining the countless possibilities of GenAI beyond ChatGPT and similar applications, this capability map aims to provide clarity and guidance for organizations looking to leverage the transformative potential of these technologies for their operational and strategic initiatives.en
dc.identifier.doi10.18420/inf2024_136
dc.identifier.eissn2944-7682
dc.identifier.isbn978-3-88579-746-3
dc.identifier.issn2944-7682
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45110
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-352
dc.subjectGenAI
dc.subjectCapabilities
dc.subjectUse Cases
dc.titleCapabilities of Gen AIen
dc.typeText/Conference Paper
gi.citation.endPage1569
gi.citation.publisherPlaceBonn
gi.citation.startPage1553
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitle9. Workshop Enterprise Architecture Management in Theorie und Praxis

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