THE IMPACT OF THE INTRODUCTION OF ARTIFICIAL INTELLIGENCE AND 5G NETWORKS ON THE MANAGEMENT OF FINANCIAL SUPPORT FOR THE INNOVATIVE DEVELOPMENT OF TELECOMMUNICATIONS ENTERPRISES

Keywords: management, financial support, innovative development, telecommunications companies

Abstract

The article emphasizes that the introduction of artificial intelligence (AI) and 5G not only changes approaches to managing the financial support for innovative development, but also creates strategic opportunities to increase the competitiveness and sustainability of telecommunications enterprises in the dynamic conditions of the modern market. Studies show that the telecommunications sector is one of the most innovative sectors of the economy. At the same time, statistics also indicate that competition in the telecommunications sector is intensifying, which means that companies need to constantly look for new ways to attract and retain customers. To ensure sustainable development and maintain leadership in this environment, companies pay special attention to managing the financing of innovations and the use of advanced technologies. It is emphasized that innovative technologies such as AI and 5G require significant initial investments in infrastructure development, equipment modernization, and staff training. This requires careful financial planning and diversification of funding sources, including attracting investments, loans, and partnership resources. The use of AI helps automate financial processes, increasing the efficiency of resource management. This allows optimizing costs, predicting financial risks, and providing flexibility in allocating funds for innovative projects. The introduction of 5G opens up new sources of revenue, in particular through the development of Internet of Things (IoT) services, cloud solutions, and high-speed communications. This contributes to the growth of companies' profitability and expands their ability to reinvest in further development. The combination of AI and 5G helps to reduce financial risks through the ability to forecast and analyze large amounts of data in real time, as well as improve the quality of communication and reliability of services.

References

Житар M. Концептуальні засади управління інноваційним розвитком телекомунікаційних підприємств. Європейський науковий журнал Економічних та Фінансових інновацій. 2024. № 1(13). С. 157–165. DOI: https://doi.org/10.32750/2024-0115

Dang Ch. Network-based targeting: Big Data application in mobile industry. Big Data Applications in the Telecommunications Industry. 2017. Рр. 78–107. DOI: https://doi.org/10.4018/978-1-5225-1750-4.ch007

Goworek К. The big impact of Big Data on the telecom industry. 2021. URL: https://tasil.com/insights/big-data-in-telecoms

Mykhalchuk T., Zatonatska T., Dluhopolskyi O., Zhukovska A., Dluhopolska T., Liakhovych L. Development of recommendation system in e-commerce using emotional analysis and machine learning methods. The 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). Vol. 1 (September 22-25, 2021). Cracow, Poland, 2021. Рр. 527–535. URL: https://ieeexplore.ieee.org/document/9660854

Perkhofer L., Walchshofer C., Hofer P. Does design matter when visualizing Big Data? An empirical study to investigate the effect of visualization type and interaction use. Journal of Management Control. 2020. № 31. Рр. 55–95. DOI: https://doi.org/10.1007/s00187-020-00294-0

Radukić S., Mastilo Z., Kostić Z. Effects of digital transformation and network externalities in the telecommunication markets. Economics. 2019. № 7(2). Рр. 31–42. DOI: https://doi.org/10.2478/eoik-2019-0019

Riddle J. How Will Big Data Transform E-Commerce Marketplaces? 2020. URL: https://learn.g2.com/big-data-ecommerce

Rosario A., Moniz L.B., Cruz R. Data science applied to marketing: a literature review. Journal of Information Science and Engineering. 2021. № 37(5). Рр. 1067–1081. DOI: https://doi.org/10.6688/JISE.202109_37(5).0006

Zatonatska T. et al. Forecasting the Behavior of Target Segments to Activate Advertising Tools: Case of Mobile Operator Vodafone Ukraine. Economics. 2022. Vol. 10, no. 1. Рp. 87–104. DOI: https://doi.org/10.2478/eoik-2022-0005

Zhytar M. (2024). Kontseptualni zasady upravlinnia innovatsiinym rozvytkom telekomunikatsiinykh pidpryiemstv [Conceptual principles of managing innovative development of telecommunications enterprises]. Yevropeiskyi naukovyi zhurnal Ekonomichnykh ta Finansovykh innovatsii, no. 1(13), pp. 157–165. DOI: https://doi.org/10.32750/2024-0115

Dang Ch. (2017). Network-based targeting: Big Data application in mobile industry. Big Data Applications in the Telecommunications Industry. pp. 78–107. DOI: https://doi.org/10.4018/978-1-5225-1750-4.ch007

Goworek K. The big impact of Big Data on the telecom industry. 2021. Available at: https://tasil.com/insights/big-data-in-telecoms

Mykhalchuk T., Zatonatska T., Dluhopolskyi O., Zhukovska A., Dluhopolska T., Liakhovych L. (2021) Development of recommendation system in e-commerce using emotional analysis and machine learning methods. The 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). Vol. 1 (September 22-25, 2021). Cracow, Poland, pp. 527–535. Available at: https://ieeexplore.ieee.org/document/9660854

Perkhofer L., Walchshofer C., Hofer P. (2020). Does design matter when visualizing Big Data? An empirical study to investigate the effect of visualization type and interaction use. Journal of Management Control, no. 31, pp. 55–95. DOI: https://doi.org/10.1007/s00187-020-00294-0

Radukić S., Mastilo Z., Kostić Z. (2019). Effects of digital transformation and network externalities in the telecommunication markets. Economics, no. 7(2), pp. 31–42. DOI: https://doi.org/10.2478/eoik-2019-0019

Riddle J. (2020). How Will Big Data Transform E-Commerce Marketplaces? Available at: https://learn.g2.com/big-data-ecommerce

Rosario A., Moniz L.B., Cruz R. (2021). Data science applied to marketing: a literature review. Journal of Information Science and Engineering, no. 37(5), pp. 1067–1081. DOI: https://doi.org/10.6688/JISE.202109_37(5).0006

Zatonatska T. et al. (2022). Forecasting the Behavior of Target Segments to Activate Advertising Tools: Case of Mobile Operator Vodafone Ukraine. Economics, vol. 10, no. 1, pp. 87–104. DOI: https://doi.org/10.2478/eoik-2022-0005

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Published
2025-01-27
How to Cite
Kudrina, O. (2025). THE IMPACT OF THE INTRODUCTION OF ARTIFICIAL INTELLIGENCE AND 5G NETWORKS ON THE MANAGEMENT OF FINANCIAL SUPPORT FOR THE INNOVATIVE DEVELOPMENT OF TELECOMMUNICATIONS ENTERPRISES. Digital Есопоmу and Economic Security, (1 (16), 3-8. https://doi.org/10.32782/dees.16-1