APPLICATION OF AI IN ORGANIZATIONAL PRACTICE AND HIGHER EDUCATION
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 synergisti...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | ces |
| Published: |
Vydavatelství ZČU v Plzni
2024-12-01
|
| Series: | Trendy v podnikání |
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1825208831239520256 |
|---|---|
| author | Matej Havlas Veronika Novotná |
| author_facet | Matej Havlas Veronika Novotná |
| author_sort | Matej Havlas |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-06e3dd7dc5024d0b9da7895e3ad99ef2 |
| institution | Kabale University |
| issn | 2788-0079 |
| language | ces |
| publishDate | 2024-12-01 |
| publisher | Vydavatelství ZČU v Plzni |
| record_format | Article |
| series | Trendy v podnikání |
| spelling | doaj-art-06e3dd7dc5024d0b9da7895e3ad99ef22025-02-06T17:33:29ZcesVydavatelství ZČU v PlzniTrendy v podnikání2788-00792024-12-01142413https://doi.org/10.24132/jbt.2024.14.2.4_13APPLICATION OF AI IN ORGANIZATIONAL PRACTICE AND HIGHER EDUCATIONMatej Havlashttps://orcid.org/0009-0009-5686-0695Veronika Novotnáhttps://orcid.org/0000-0001-9360-3035AI 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 intelligenceliterature researchindustryhigher educationimplementation |
| spellingShingle | Matej Havlas Veronika Novotná APPLICATION OF AI IN ORGANIZATIONAL PRACTICE AND HIGHER EDUCATION Trendy v podnikání artificial intelligence literature research industry higher education implementation |
| title | APPLICATION OF AI IN ORGANIZATIONAL PRACTICE AND HIGHER EDUCATION |
| title_full | APPLICATION OF AI IN ORGANIZATIONAL PRACTICE AND HIGHER EDUCATION |
| title_fullStr | APPLICATION OF AI IN ORGANIZATIONAL PRACTICE AND HIGHER EDUCATION |
| title_full_unstemmed | APPLICATION OF AI IN ORGANIZATIONAL PRACTICE AND HIGHER EDUCATION |
| title_short | APPLICATION OF AI IN ORGANIZATIONAL PRACTICE AND HIGHER EDUCATION |
| title_sort | application of ai in organizational practice and higher education |
| topic | artificial intelligence literature research industry higher education implementation |
| work_keys_str_mv | AT matejhavlas applicationofaiinorganizationalpracticeandhighereducation AT veronikanovotna applicationofaiinorganizationalpracticeandhighereducation |