The possibilities and limitations of the development of artificial intelligence and robotics technologies in Russian industry
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| Název: | The possibilities and limitations of the development of artificial intelligence and robotics technologies in Russian industry |
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| Autoři: | Ol'ga P. SMIRNOVA, Alena O. PONOMAREVA |
| Zdroj: | National Interests: Priorities and Security. 21:4-19 |
| Informace o vydavateli: | Publishing House Finance and Credit, 2025. |
| Rok vydání: | 2025 |
| Popis: | Subject. This article considers artificial intelligence technologies (AI), their development and dissemination in various sectors of the economy. Objectives. The article aims to explore the main trends and challenges associated with the implementation of artificial intelligence technologies. Methods. For the study, we used statistical and logical analyses, as well as SWOT analysis. Results. The article defines the features of the Russian economy and industry regarding the implementation of artificial intelligence and robotics technologies. Conclusions. The results obtained can be useful to administrative bodies to develop strategies for further digital transformation. |
| Druh dokumentu: | Article |
| ISSN: | 2311-875X 2073-2872 |
| DOI: | 10.24891/hwannl |
| Přístupové číslo: | edsair.doi...........ae65b75c6fbadcce970b97c131d1a061 |
| Databáze: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstrakt: | Subject. This article considers artificial intelligence technologies (AI), their development and dissemination in various sectors of the economy. Objectives. The article aims to explore the main trends and challenges associated with the implementation of artificial intelligence technologies. Methods. For the study, we used statistical and logical analyses, as well as SWOT analysis. Results. The article defines the features of the Russian economy and industry regarding the implementation of artificial intelligence and robotics technologies. Conclusions. The results obtained can be useful to administrative bodies to develop strategies for further digital transformation. |
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| ISSN: | 2311875X 20732872 |
| DOI: | 10.24891/hwannl |