Application of AI in organizational practice and higher education
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F26%3A0196793" target="_blank" >RIV/00216305:26510/26:0196793 - isvavai.cz</a>
Result on the web
<a href="https://www.trendypodnikani.cz/clanky/archiv/tvp-2024-2.html" target="_blank" >https://www.trendypodnikani.cz/clanky/archiv/tvp-2024-2.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.24132/jbt.2024.14.2.4_13" target="_blank" >10.24132/jbt.2024.14.2.4_13</a>
Alternative languages
Result language
angličtina
Original language name
Application of AI in organizational practice and higher education
Original language description
AI is one of the fastest rising technologies today. Industry is tackling implementation in strategic areas, while education must respond by changing teaching methods The objective of this paper is to provide a comprehensive overview of AI implementation in industry and education, identify synergistic opportunities between these sectors, and explore future trends that foster innovation and competitiveness. The author focuses on the analysis and comparison of different approaches and methodologies, examining specific use cases of AI and their impact on transforming educational practices and industrial processes. This thesis is based on a literature search that summarizes current knowledge and practices of AI implementation. The author analyses existing studies and use cases to identify key trends and approaches in industry and education. The findings show that industry is actively integrating AI into strategic areas, leading to improvements in process automation, predictive maintenance and product innovation. Higher education is adapting to these changes and transforming its teaching methods and curricula to prepare students to work with AI. In conclusion, effective implementation of AI requires close collaboration between industry and education. Limitations include the rapidly changing technological environment and the need for continuous adaptation.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Trendy v podnikání
ISSN
1805-0603
e-ISSN
2788-0079
Volume of the periodical
14
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
10
Pages from-to
4-13
UT code for WoS article
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EID of the result in the Scopus database
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