Features of using artificial intelligence in companies’marketing communications
The use of artificial intelligence (hereinafter referred to as Al) is one of the leading trends in marketing and advertising in recent years. With its help, it is possible to solve tasks of varying complexity: from generating ideas for promotion to creating advertising creatives. The research proble...
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| Format: | Article |
| Language: | Russian |
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State University of Management
2024-01-01
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| Series: | Цифровая социология |
| Subjects: | |
| Online Access: | https://digitalsociology.guu.ru/jour/article/view/278 |
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| _version_ | 1832540652626247680 |
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| author | K. A. Arzhanova L. D. Pisklakova |
| author_facet | K. A. Arzhanova L. D. Pisklakova |
| author_sort | K. A. Arzhanova |
| collection | DOAJ |
| description | The use of artificial intelligence (hereinafter referred to as Al) is one of the leading trends in marketing and advertising in recent years. With its help, it is possible to solve tasks of varying complexity: from generating ideas for promotion to creating advertising creatives. The research problem is that in order to work effectively, companies need to understand which neural networks can most optimally solve the tasks of marketing activities. To do this, it is necessary to define a list of such neural networks. The authors consider the use of Al in marketing communications and analyse neural networks that can be used in business. The study purpose is to form a relevant list of neural networks for the implementation of marketing activities of the company. The most popular neural networks, their functionality and features were studied. The domestic and foreign experience analysis of using neural networks in the marketing activities of companies is conducted. Recommendations for more efficient use of neural networks are proposed. Based on the conducted research, a relevant list of neural networks for the implementation of the company’s marketing activities was determined. The methodological basis of the article was formed of publications on the problems of using neural networks in business and marketing sphere. The works of domestic and foreign researchers were studied. The following theoretical research methods were used in the article: analysis, synthesis, problematisation. The content analysis was chosen as an empirical method. |
| format | Article |
| id | doaj-art-28108ed7818244dea883d34e1bdf5e0c |
| institution | Kabale University |
| issn | 2658-347X 2713-1653 |
| language | Russian |
| publishDate | 2024-01-01 |
| publisher | State University of Management |
| record_format | Article |
| series | Цифровая социология |
| spelling | doaj-art-28108ed7818244dea883d34e1bdf5e0c2025-02-04T16:32:35ZrusState University of ManagementЦифровая социология2658-347X2713-16532024-01-016441210.26425/2658-347X-2023-6-4-4-12170Features of using artificial intelligence in companies’marketing communicationsK. A. Arzhanova0L. D. Pisklakova1State University of ManagementState University of ManagementThe use of artificial intelligence (hereinafter referred to as Al) is one of the leading trends in marketing and advertising in recent years. With its help, it is possible to solve tasks of varying complexity: from generating ideas for promotion to creating advertising creatives. The research problem is that in order to work effectively, companies need to understand which neural networks can most optimally solve the tasks of marketing activities. To do this, it is necessary to define a list of such neural networks. The authors consider the use of Al in marketing communications and analyse neural networks that can be used in business. The study purpose is to form a relevant list of neural networks for the implementation of marketing activities of the company. The most popular neural networks, their functionality and features were studied. The domestic and foreign experience analysis of using neural networks in the marketing activities of companies is conducted. Recommendations for more efficient use of neural networks are proposed. Based on the conducted research, a relevant list of neural networks for the implementation of the company’s marketing activities was determined. The methodological basis of the article was formed of publications on the problems of using neural networks in business and marketing sphere. The works of domestic and foreign researchers were studied. The following theoretical research methods were used in the article: analysis, synthesis, problematisation. The content analysis was chosen as an empirical method.https://digitalsociology.guu.ru/jour/article/view/278artificial intelligenceneural networksmarketingmarketing communicationsadvertisingadvertising campaigndigital marketing |
| spellingShingle | K. A. Arzhanova L. D. Pisklakova Features of using artificial intelligence in companies’marketing communications Цифровая социология artificial intelligence neural networks marketing marketing communications advertising advertising campaign digital marketing |
| title | Features of using artificial intelligence in companies’marketing communications |
| title_full | Features of using artificial intelligence in companies’marketing communications |
| title_fullStr | Features of using artificial intelligence in companies’marketing communications |
| title_full_unstemmed | Features of using artificial intelligence in companies’marketing communications |
| title_short | Features of using artificial intelligence in companies’marketing communications |
| title_sort | features of using artificial intelligence in companies marketing communications |
| topic | artificial intelligence neural networks marketing marketing communications advertising advertising campaign digital marketing |
| url | https://digitalsociology.guu.ru/jour/article/view/278 |
| work_keys_str_mv | AT kaarzhanova featuresofusingartificialintelligenceincompaniesmarketingcommunications AT ldpisklakova featuresofusingartificialintelligenceincompaniesmarketingcommunications |