The relevance of the research topic due to the necessity of identifying the main challenges of the digital transformation of companies. In the article the analysis of the terminology of the Digital economy. Selected the best quotes of scientific and public figures defining the need for a digital transformation of society. Conducted in-depth analysis of domestic and foreign research on the digital transformation of companies. The importance of building a parallel digital reality. The article graphically presents the results of a sociological survey. The survey was conducted anonymously with the test method. According to the results of sociological research revealed problems entering the population in the digital economy. The necessity of implementation of digital education to improve the overall quality of education of the population. The necessity of qualification of the teaching staff of higher educational institutions in the direction of the digital transformation of society.. the study was conducted system analysis, allowing to consider the challenges of digital transformation, digital education, digital literacy, digital culture, digital reputation. The advantages and disadvantages, and made reasoned conclusions. The processes of the E. A. Khitskov et al. 856digital transformation of society, aimed at improving the country's competitiveness. Scientific novelty is to identify the problems of the occurrence of the population in the digital economy. Identified the necessary digital competence. The materials of the article are of practical importance, was discussed at the faculty of information technologies of the Russian state social University, Moscow.

Artificial intelligence, as a separate field of research, is currently experiencing a boom - new methods of machine learning and hardware are emerging and improving, and the results achieved change the life of society. Machine translation, handwriting recognition, speech recognition are changing our reality. The work of creating unmanned vehicles, voice assistants and other devices using these technologies is in an active process. The article examines the historical context of the artificial intelligence development, it evaluates the possibilities of its introduction into cyber games, as a safe and effective platform for testing new methods of machine learning. The promotion of such projects can increase the reputation of development companies, ensure increased user confidence in other products and, with a competent marketing strategy, cause a significant public resonance among video game fans, providing the developer with economic profit.

In the aviation industry over the past few years, much work has been done to improve the conditions for the design, manufacture of aircraft, as well as their operation. New models of Russian aircraft are not inferior, and sometimes surpass foreign analogues in a number of parameters. At the same time, flight safety requirements are growing. The introduction of digital innovation is dictated by the growing requirements for technological innovation in the aviation industry. The world is on the verge of a new, fourth industrial revolution, Industry 4.0, whose large-scale penetration will lead to the complete automation of most production processes. Domestic production of various types of aircrafts for civilian and military purposes should reach a new level of technological development in order to protect its role in global economic competition. In this regard, the volume of research, design and development, installation and commissioning, testing and service-maintenance work is significantly increasing. It is possible to achieve an increase in the quality of flight performance and the level of flight safety of an aircraft by creating an automatic system for monitoring the main parameters of structural parts during mechanical tests of aircraft. This article is devoted to the study of automation of control of parameters of structural parts during mechanical tests of aircraft, the process of development and testing of an automated complex for vibration testing of parameters of structural parts of aircraft is considered.

The study was conducted using a natural science approach to assessing the working conditions of teachers and staff. Applied methods: system analysis, mathematical modeling, logical generalization of statistical data of a sociological survey. The introduction describes changes in the regulatory framework of the Ministry of labor of Russia. The requirements for the working conditions of the teaching staff during the period of self-isolation COVID-19 are described. Modern technology for evaluating measures to optimize and improve the working conditions of teachers and staff offers new calculation coefficients of criteria and indicators for evaluating the effectiveness of measures to optimize and improve working conditions. The effectiveness of measures is proposed to be evaluated by four groups of indicators: physical, social, economic, and reputational (reputation). For the resulting analysis of the effectiveness of measures, it is proposed to apply a "Generalized criterion". The generalized efficiency criterion is proposed to be calculated as a generalized Harrington desirability function. It is proposed to use regression methods, expert evaluation methods, and Bayesian methods to predict the effectiveness of the assessment. The simulation is performed using the Monte Carlo method, using Markov chains. The identified modern trends in achieving the University’s target indicators and indicators are described. Technologies that reduce time, labor, financial, and material costs are described. Overall satisfaction with the working conditions of teachers and staff was revealed. Modeling and forecasting were performed. New trends in achieving the University’s target indicators and indicators are identified and described. Ways to automate processes are suggested. A new motivational approach is described, which forms a new General vector of the University’s orientation. The practical significance of the research results is proved. In conclusion, the results of a sociological survey of teachers on satisfaction with working conditions are promised. The directions of development of the University that increase satisfaction with the working conditions of teachers and staff are identified.

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