Application of AI in organizational practice and higher education

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Application of AI in organizational practice and higher education

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Application of AI in organizational practice and higher education

Popis výsledku anglicky

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.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Trendy v podnikání

ISSN

1805-0603

e-ISSN

2788-0079

Svazek periodika

14

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

4-13

Kód UT WoS článku

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EID výsledku v databázi Scopus

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