Künstliche Intelligenz: Grundlagen, Potenziale und Herausforderungen in der Digitalen Transformation

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FHNW-KI-KMU-Methodik-Kapitel-Grundlagen.pdf(2.51 MB)
Authors
Author (Corporation)
Publication date
2025
Type of student thesis
Course of study
Collections
Institute for Competitiveness and Communication
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Type
04A - Book part
Editors
Editor (Corporation)
Supervisor
Parent work
Künstliche Intelligenz (KI): Strategiemethodik, Konzepte und Fallstudien
Special issue
DOI of the original publication
URI
https://irf.fhnw.ch/handle/11645/57305
https://doi.org/10.26041/fhnw-16693
Link
https://www.ki-zentrum.ch/praxisleitfaden/
Related research data
Series
Series number
Volume
Issue / Number
Pages / Duration
52-70
Patent number
Publisher / Publishing institution
Hochschule für Wirtschaft FHNW
Place of publication / Event location
Olten
Edition
Version
Programming language
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Practice partner / Client
Keywords
Subject (DDC)
330 - Wirtschaft
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Event
Exhibition start date
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Conference end date
Date of the last check
ISBN
978-3-03724-218-6
3-03724-218-3
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Language
German
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
not peer-reviewed
Open access category
Green
License
'http://rightsstatements.org/vocab/InC/1.0/'
Citation
Dörner, A., Rozumowski, A., Peter, M. K., & Lindeque, J. P. (2025). Künstliche Intelligenz: Grundlagen, Potenziale und Herausforderungen in der Digitalen Transformation. In M. K. Peter, E. Laurenzi, & K. Hinkelmann (eds.), Künstliche Intelligenz (KI): Strategiemethodik, Konzepte und Fallstudien (pp. 52–70). Hochschule für Wirtschaft FHNW. https://doi.org/10.26041/fhnw-16693
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