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Correction: Large Process Models: A Vision for Business Process Management in the Age of Generative AI

  • Open Access
  • 19.12.2024
  • Correction

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The online version of the original article can be found at https://doi.org/10.1007/s13218-024-00863-8.

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Correction: KI - Künstliche Intelligenz
In Fig. 1 of this article characters are missing.
Figure 1 should have appeared as shown on the next page:
Figure with labelling wrong:
Figure with labelling correct:
The Original Article has been corrected.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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KI - Künstliche Intelligenz

The Scientific journal "KI – Künstliche Intelligenz" is the official journal of the division for artificial intelligence within the "Gesellschaft für Informatik e.V." (GI) – the German Informatics Society - with constributions from troughout the field of artificial intelligence.

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Titel
Correction: Large Process Models: A Vision for Business Process Management in the Age of Generative AI
Verfasst von
Timotheus Kampik
Christian Warmuth
Adrian Rebmann
Ron Agam
Lukas N. P. Egger
Andreas Gerber
Johannes Hoffart
Jonas Kolk
Philipp Herzig
Gero Decker
Han van der Aa
Artem Polyvyanyy
Stefanie Rinderle-Ma
Ingo Weber
Matthias Weidlich
Publikationsdatum
19.12.2024
Verlag
Springer Berlin Heidelberg
Erschienen in
KI - Künstliche Intelligenz
Print ISSN: 0933-1875
Elektronische ISSN: 1610-1987
DOI
https://doi.org/10.1007/s13218-024-00884-3
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