Publication:
Digitalization as a New Paradigm of Economic Progress

Дата
2022
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Научные группы
Организационные подразделения
Организационная единица
Институт финансовых технологий и экономической безопасности
Институт финансовых технологий и экономической безопасности (ИФТЭБ) Национального исследовательского ядерного университета "МИФИ" готовит кадры в интересах национальной системы по противодействию легализации (отмыванию) доходов, полученных преступным путем, и финансированию терроризма (ПОД/ФТ). Междисциплинарность образования позволит выпускникам ИФТЭБ НИЯУ МИФИ легко адаптироваться на современном рынке труда и в бизнес-среде.
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Аннотация
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.Digitalization that challenges us, instills a sense of progress, gives autonomy and makes us feel a bright future. It is viewed as a result of the large-scale use of digital technologies in the mode of modern integration processes in the international space in order to enhance economic progress. Based on this goal, we reveal the degree of influence of the generation of digital technologies on the transforming factor of economic growth. They tend to argue that digitalization has become a critical necessity in all spheres of the economy, which is the basis for long-term success. Analyzing the use of digital technologies as a “core” of interaction between science, business and government, we prove the inevitability of economic growth, an increase in the quality of human life and the prosperity of society. We identified ways to consistently implement Russia's coordinated strategy based on the use of digital technologies in all spheres of economic and social activity. Justified the introduction of the “digital spirit” into economic life, especially in the development of artificial intelligence technologies, as an accelerator for achieving global advantages and reducing risks in modern economic development in response to the COVID-19 pandemic.
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Digitalization as a New Paradigm of Economic Progress / Makar, S. [et al.] // Studies in Computational Intelligence. - 2022. - 1032 SCI. - P. 344-354. - 10.1007/978-3-030-96993-6_38
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