A 3 phases model towards an industrialization of (generative) artificial intelligence developed for corporate environments
| dc.contributor.author | Przewloka, Martin | |
| dc.contributor.editor | Markus Böhm, Jürgen Wunderlich | |
| dc.date.accessioned | 2024-10-01T10:15:42Z | |
| dc.date.available | 2024-10-01T10:15:42Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Companies face major challenges when it comes to developing a strategic approach related to artificial intelligence (AI). The massive wave of generative models that has just started is another indication that technology adaptation is associated with very large uncertainties. As a result, a large number of undirected activities in corporates occur in which so-called use cases, prototypes and minimum viable products are implemented. A targeted and strategic approach is hardly recognizable. The aim of the work carried out here was to develop a practical model that meets all parameters: moving forward quickly, learning from mistakes, developing unique selling points and thus competitive advantages ultimately resulting in an AI strategy. This is exactly what can be achieved in 3 steps, the efficiency phase, the competitive advantage phase and the transformation phase, all of which build on one another sequentially. The model presented here also makes a significant contribution to the development and adaptation of a responsible AI. | en |
| dc.identifier.doi | 10.18420/AKWI2024-018 | |
| dc.identifier.isbn | 978-3-88579-801-9 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/44657 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | AKWI Jahrestagung 2024 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-357 | |
| dc.subject | digital transformation | |
| dc.subject | generative AI | |
| dc.subject | competitive advantages | |
| dc.subject | technology-push | |
| dc.subject | clinical trials | |
| dc.subject | clinical studies | |
| dc.subject | key performance indicators | |
| dc.subject | change management | |
| dc.subject | responsible AI | |
| dc.subject | efficiency | |
| dc.title | A 3 phases model towards an industrialization of (generative) artificial intelligence developed for corporate environments | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 205 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 201 | |
| gi.conference.date | 09.-10.09.2024 | |
| gi.conference.location | HAW-Landshut | |
| gi.conference.sessiontitle | Poster Presentations |
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