Abstract

The paper studies the digitalization of the Russian economy at the present stage. The digital transformation of society is currently the global development trend of many civilized countries. The main feature of the country’s digital economy related to the development of engineering is identified, the need for further development of information technologies is substantiated. The aim of the work is to assess and analyze the status and success of the development of the digital economy in Russia, the use of artificial intelligence and big data, their relationship. The work uses the description of the Data Science and its methods in the conditions of application of “smart” technologies, the need for their use is revealed. The role of “smart” technologies in the analysis of social processes and social phenomena, which expand the sources of knowledge about it, is described. The development of “smart” technologies will make it possible to solve a significant part of the problems that humanity has, solve methodological issues in organizing data collection, including personal data, and in building algorithms for their processing. The methods used by AI in processing big data are determined. The author considers a general description of the nature and purpose of high technology: artificial intelligence (AI) and big data. The reasons for the need to use artificial intelligence (AI), which is a powerful amplifier of human intelligence due to the processing in various ways of a huge array of accumulated and constantly updated databases, have been identified. The effectiveness of AI systems is determined by analyzing a huge number of facts that are inaccessible to the human brain and technologies based on artificial neural networks. As a result of the study, the growth trends for the future, the factors hindering the development of the digital economy and the introduction of advanced digital technologies and their growth directions.KeywordsEconomic growth strategyDigital economySmart technologiesArtificial intelligenceBig dataJEL ClassificationO10L86M15

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