Application of AI in organizational practice and higher education

journal article - other

English

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.

Artificial intelligence, Literature research, Industry, Higher Education, Implementation

HAVLAS, M.; NOVOTNÁ, V.

6. 2. 2025

Vydavatelství ZČU v Plzni

Plzeň

1805-0603

Trendy v podnikání

14

2

Czech Republic

4

13

10

https://www.trendypodnikani.cz/clanky/archiv/tvp-2024-2.html