The article explores issues related to the transition of modern organizations to digital technology. It is planned that by 2036 about 50% of jobs will be automated and, as a result, this will lead to a transformation of the labor market and a change in the socio-economic situation in the regions and in the country as a whole. The study provides data on the high degree of computerization of modern Russian organizations, which actually increases the overall involvement of staff in the organization’s activities and business efficiency. In order to effectively transition to digital technologies, modern organizations must adapt to changing conditions and conduct organizational training. The study suggested that in the digital era, it is necessary to use public-private partnership mechanisms that will allow the formation of knowledge bases in conjunction with educational and scientific institutions and business structures, which will quickly adapt to changing conditions and maintain a holistic organizational system of enterprises. At the end of the work, conclusions are drawn from the results of the study.

The defining trend of the Fourth Industrial Revolution taking place on the basis of Industry 4.0 is the digitalization of technological processes for creating new value in material production. The introduction of global trends of the Industry 4.0 concept into the practice of domestic enterprises, the importance of global trends for domestic industry require the search for new scientific approaches to research and systematize the manifestations of digitalization, take risks and dangers into account, and develop appropriate industrial policy measures. The study analyzes the main technologies and tools of the Industry 4.0 concept, the possibilities of its use for the progressive transformation of Russia industrial complex. The current trends and promising areas of innovative transformation of the industrial sector of the Russian economy are determined taking into account the identified specific features of Industry 4.0.

The article deals with the possibility of the implementation of artificial intelligence, which will improve the efficiency of national economy, including the energy industry. The paper presents the principles of using neural networks and elements of artificial intelligence in the processes of production, transmission and consumption of electricity. It has been revealed that the use of artificial intelligence in the electric power industry will make it possible to minimize disruptions in power supply.

The article is devoted to the issues of the transition of the electric power industry to renewable energy sources. The study analyzed the total consumption of electric energy and the installed capacity of Russian power plants, as a result, it was concluded that the increase in energy consumption. At the same time, the study found that the share of renewable energy sources does not exceed 1 GW of installed capacity and there are no quantitative changes in the volume of electricity production from renewable energy sources. The work identified factors that impede the development of renewable energy sources, which are grouped into technical, technological and economic factors, according to the level of state support and the presence of systemic problems in the electric power industry. The study proposed mechanisms aimed at developing renewable energy sources. In conclusion, the study presents the main findings and results of the work.

The study is devoted to assessing the innovative potential of agriculture of the member states of the Eurasian Economic Union. As part of the work, it was revealed that the Member States of the Union were united in order to ensure sustainable development in the current and strategic perspective. The analyzed agricultural indicators led to the conclusion that the Russian Federation is the absolute leader in terms of gross output and distribution of agricultural products, the Republic of Kazakhstan occupies the second place, and the Republic of Belarus in third place. At the same time, the specific indicator reflecting the collection and production of agricultural products per capita, which indicates the innovative development of agriculture, was analyzed in the work, as a result, it was revealed that the Russian Federation ranks last in terms of certain indicators. In this connection, mechanisms were proposed in the work aimed at increasing the innovative development of agriculture in the member states of the Eurasian Economic Union.