This paper examines the principal trends of the government regulation of the milk-producing industry. It focuses on the rationale of those trends for improving the government regulation of dairy industry parameters and the development of effective methods for their implementation in the context of transformation into the digital economy. The study explores theoretical positions, approaches, and principles of the government regulation of digitalization of the dairy industry. It also identifies the essence and forms of this regulation. The researchers developed an economic and mathematical model of the relationship between the dairy industry parameters through a multilevel chain of indirect parameter relationship. The researchers also worked out the methodological foundations for modeling the dairy industry using digital technologies. A reverse forecasting technique was developed to estimate the necessary volume of the government support required to achieve dairy industry target indicators at any level of regulation. The model was tested with various scenarios for forecasting the results of the government regulation of the dairy industry in order to achieve the target criteria.

The business community plays an essential role in ensuring sustainable regional development. This is due both to the powerful financial potential of business, which is particularly important with limited state budgetary resources, and to the high scientific and technical potential of companies, which is essential for maintaining their international competitiveness. The contribution of business to social development and sustainable regional development will depend, first, on the growth in traditional activities and the creation of new projects, and second, on the modernization of existing industries for reducing the negative impact on the region's environment and population. In recent decades, the concept of social responsibility of business, that is, its responsibility to the population or society has been developed by the most conscious and forward-looking part of the Russian business community, which has initiated impressive voluntary activity in this field. This relates essentially to large private or state-owned businesses. The business community is actively engaged with interested business and social groups, implementing contemporary international standards of socially oriented and environmental management, publishing social reports, including in the field of sustainable regional development.

The article analyzes modern trends in the digital transformation of audit, problems and prospects for the use of big data analytics in audit and consulting. The providers of the development of the “roboaudit” direction are large audit companies that invest a lot of resources in the digital transformation of audit. To understand the benefits of digital transformation of auditing, a gradual development of the professional IT worldview among young auditors is required, which takes into account the new competence model of the qualification exam for auditors, which allows assessing information technology knowledge in different modules and at all stages of the exam.

The globalization of world economic processes leads to increased competition, increased risks, with the same causes in different countries, which ultimately can lead business to bankruptcy. The purpose of the study is to develop a rapid assessment tools risks bankrupting companies in international strategic alliances. The methodological basis of the research served as the scientific works of foreign and Russian scientists, expert, mathematical-statistical and analytical methods, systematic approach to address the problem of diagnostics of the probability of bankruptcy. Results: The authors have substantiated and tested by the economic model for the assessment of risk of bankruptcy of the companies participating in international strategic alliances.

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