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Носова, Светлана Сергеевна

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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Теперь показываю 1 - 10 из 19

Только метаданные
Digital business as a driver of economic growth in Russia
(2019) Kolodnyaya, G. V.; Bondarev, S. A.; Verigo, S. A.; Kudryashov, A. B.; Nosova, S. S.; Носова, Светлана Сергеевна
© 2019.This paper provides an insight into the subject matter of the digital economy and digital business as key factors for growth within Russia's industrial sector and its national economy as a whole. The authors describe some of the key characteristics of modern digital business; examine some of the key outcomes from the development of digital business, which include facilitating boosts in knowledge and reduced transaction costs and helping attract potential clients and retain them as customers; provide a rationale for the need for robust interaction among science, economics, and public policy in speeding up the digitalization of the business environment; establish the actual role of digital technology; propose a model of digital business from a standpoint of the choice of priority areas that are based on international projections of trends in national development, with a focus on identifying a set of determinants of boosts in the innovativeness and competitive advantage of the Russian economy that may help facilitate economic growth through the development of Russian digital business.
Только метаданные
Strategy of innovation territorial clusters in the aspect of the growth of the russian digital economy competiveness
(2019) Makar, S. V.; Yarasheva, A. V.; Kilchukova, A. L.; Medvedeva, A. M.; Nosova, S. S.; Носова, Светлана Сергеевна
© 2019. revistaESPACIOS. com.The paper analyzes the model of the digital economy formation in the system of network partners implementing collective actions within a single territory, common identity and joint obligations in the aspect of forming a cluster business in order to select priority areas in the development of science, engineering and digital technologies that should be aimed at upgrading the economy in order to increase its competitiveness; it has been proved that the formation of innovative territorial clusters (ITCs) multiplies the productivity of production factors and serves as the main mechanism for balancing the economy in the context of global digitalization.
Только метаданные
Innovative territorial cluster as a promising factor of sustainable economic development of Russian steppe regions
(2021) Gerasimenko, T. I.; Makar, S. V.; Medvedeva, O. E.; Nosova, S. S.; Носова, Светлана Сергеевна
© Published under licence by IOP Publishing Ltd.The purpose of the study is to prove the need for development of innovative territorial clusters (ITC) in steppe regions. With a well-known determination of the factors of sustainable economic development of steppe regions of Russia, territorial planning and formation of environmental management structures were considered the most important. Today, the greatest relevance for steppe regions of Russia should be seen in development of the ITC as the most important condition for transition to a new technological order in the coming decades of the 21th century and a new management system based on improving scenario forecasting tools that allow identifying trends and incentives for sustainable economic development of steppe regions of Russia as a result of minimizing problems and strengthening their economic potential in the process of climate restructuring of the Earth. The results of the study include the following: definition of the ITC role as a tool for normalizing economic relations between research and educational organizations, business, development institutions and the state, as well as possibility of adapting the resulting cluster model of joint activity management to solving problems of sustainable economic development of steppe regions in the context of digital transformation of Russian economy. Innovative territorial approach should become the basis for Complex programs of ecological, economic and noospheric development of Russian regions. And there are all the prerequisites for this-rapid development of digital technologies, and along with it the growth and rapid promotion of digital innovations, without which there is no future, make this goal feasible and achievable. Therefore, it can be said that ITCs in steppe regions should serve as a source of digital innovations in Russian economy, creating new jobs for population, increasing viability of their territories and ensuring food security of the country as a whole.
Только метаданные
Integration of Artificial Intelligence into Business Management Strategy
(2024) Nosova, S.; Norkina, A.; Morozov, N.; Arakelova, I.; Носова, Светлана Сергеевна; Норкина, Анна Николаевна; Морозов, Николай Владимирович
Только метаданные
The Collaborative Nature of Artificial Intelligence as a New Trend in Economic Development
(2022) Medvedeva, O.; Makar, S.; Bondarev, S.; Fadeicheva, G.; Nosova, S.; Norkina, A.; Носова, Светлана Сергеевна; Норкина, Анна Николаевна
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.In the article, the nature of artificial intelligence (AI) is considered as the result of its collaboration (cooperation) with a person represented by scientists from different fields of science and companies that carry out joint actions in its development and implementation in various fields of activity, as well as governments of different countries The purpose of the study is to help market economy actors effectively and intelligently use AI participation and move from experiments to obtaining reliable opportunities, that act as a source of competitive flexibility on the scale of the organization and the economic growth of the country as a whole. Research results: 1) Stakeholders - from inventors to business leaders and power structures should come together to define the processes of AI development, deployment and management; 2) among economic entities, it is necessary to cultivate a better understanding of the collaborative nature of AI as a basis for obtaining significant business benefits from improving productivity to adapting products for consumers; 3) businesses need to take on more responsibility, do more together, open organizations to implement AI in order to survive and, possibly, further success; 4) the collaborative nature of AI transforms the economy, turning it into a global dynamic, computable general equilibrium model; 5) Russia can become one of the leading countries in the development of the collaborative nature of AI through international cooperation in the development and use of AI as a new reality and a promising direction for the development of the modern economy.
Только метаданные
Региональная и инновационная экономика: кластеры
(Русайнс, 2017) Носова, С. С.; Носова, Светлана Сергеевна
В монографии изложены концептуальные основы кластеризации региональной экономики как новой формы интеграции науки и образования, бизнеса, институтов развития и власти в системе современных экономических отношений с целью активизации спроса на инновации и роста конкурентоспособности региональной экономики России. Обоснована парадигма формирования инновационных территориальных кластеров. Анализируются преимущества кластерной политики Калужской области Российской Федерации, а также ядерных кластеров как драйверов экономического роста в процессе выбора стратегических направлений в условиях турбулентности современной российской экономики. Для преподавателей, аспирантов, студентов экономических вузов и факультетов, практиков, реализующих задачи кластерного развития региональной экономики, а также широкого круга читателей, интересующихся данной проблематикой.
Только метаданные
Artificial Intelligence Technology as an Economic Accelerator of Business Process
(2022) Medvedeva, O.; Abramov, A.; Makar, S.; Lozik, N.; Nosova, S.; Norkina, A.; Носова, Светлана Сергеевна; Норкина, Анна Николаевна
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.The article covers a range of problems related to the need to use artificial intelligence (AI) technology, on the one hand, as an economic accelerator of business processes in conditions of high competition in the global market, and as conditions for the growth of the economy as a whole. The main purpose of the article is to prove the feasibility of developing a conceptual framework that reveals the value of AI technology in areas such as probabilistic thinking, machine learning and computer vision to help managers better understand how promising achievements can be achieved that can eliminate some limitations in business growth and create a new wave of opportunities in the socio-economic development of the country. The results of the study confirmed that AI technology: firstly, helps to create an innovative product, better serve customers, allocate employees to solve more creative tasks, reduce costs and get high results; secondly, it gives a clear incentive to its developers, companies, politicians and users to solve the socio-economic problems facing them; thirdly, removes restrictions in obtaining massive datasets based on global cooperation in the field of digital transformation. An assessment of the possibility of using the experience of AI technology development in advanced countries has been proposed and a number of measures have been developed to adapt the development of foreign AI technology to meet the requirements of the national program of the digital economy of Russia in response to the COVID-19 pandemic.
Только метаданные
Strategies for Business Cybersecurity Using AI Technologies
(2024) Nosova, S.; Norkina, A.; Morozov, N.; Носова, Светлана Сергеевна; Норкина, Анна Николаевна; Морозов, Николай Владимирович
Только метаданные
Artificial Intelligence and Robotization: Theory of Decision Making at the Level of Business and the Economy as a Whole
(2024) Nosova, S. S.; Norkina, A. N.; Morozov, N. V.; Arakelova, I. V.; Носова, Светлана Сергеевна; Норкина, Анна Николаевна; Морозов, Николай Владимирович
Только метаданные
Digitalization as a New Paradigm of Economic Progress
(2022) Makar, S.; Arakelova, I.; Fadeicheva, G.; Nosova, S.; Norkina, A.; Носова, Светлана Сергеевна; Норкина, Анна Николаевна
© 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.