The article considers the methodological principles of qualitative and quantitative analysis of SMM activities of IT companies. The goals and objectives of such analysis are formulated, and the company՚s activity indicators in social networks are highlighted. A consistent comparison of the uniqueness of Facebook posts with X, LinkedIn with X and Facebook is carried out, and company posts in social networks are grouped into categories depending on the main topic. Along with topics, it is proposed to evaluate other characteristics of posts that allow exploring the breadth of SMM tools: post features, style, color scheme, hashtags, links. It is proposed to evaluate the involvement of the subscribers of the company and social network users through the number of likes, as well as through the total number of reposts and comments for each post. To systematize the final results of the research, a form for analyzing the work of companies in social networks was created.

The application of deep learning methods to analyze employee satisfaction based on text data is investigated. A critical review of existing approaches to assessing employee satisfaction is conducted, and the need to use natural language processing methods and deep neural networks is substantiated. Based on an extensive open dataset of employee reviews, a model is developed that allows for effective classification of texts by satisfaction levels. A thematic analysis of the main causes of positive and negative reviews is carried out using the topic modeling methods Latent Dirichlet Allocation and Non-Negative Matrix Factorization. The results of the study demonstrate the high accuracy of the proposed model and its practical significance for improving HR processes in organizations.

An integrated approach to the analysis of professional competencies in the Belarusian labor market using large language models is presented. A methodology is proposed that includes data collection using web scra­ pers, preliminary processing using a multi-level cleaning system and normalization of text information, classification and analysis of competencies based on interaction with large language models. Detailed skill profiles for each professional group are formed, clusters of complementary competencies are identified, and stable combinations of skills required in various professional fields are determined. High efficiency of using large language models for the tasks of extracting information on competencies from unstructured text descriptions of vacancies is demonstra­ ted with accuracy and completeness indicators exceeding 85%. A methodology for labor market analysis has been developed that integrates traditional big data analysis methods with the capabilities of modern language models.

The article considers the feasibility of studying artificial intelligence in economic universities of the Republic of Belarus. The prerequisites for studying artificial intelligence technologies are formulated. The rationale for the need to introduce topics related to both the theoretical foundations of artificial intelligence and its potential for practical application for solving applied problems in the field of economics and management into the content of training future specialists in economics is provided. Using the example of the specialty “Economics and Management” of the profile “Economics and Management at an Industrial Enterprise”, proposals are formulated for amending the curriculum and content of academic disciplines aimed at developing the necessary competencies in the field of artificial intelligence in students for carrying out professional activities in the context of digital transformation of the economy. The key problems that hinder the practical implementation of the designated changes are identified, priority tasks for achieving the goal are formulated, and ways to solve them are proposed.

The article considers theoretical and practical aspects of using virtual and augmented reality (VR/AR) technologies in the educational process. The potential of these technologies for improving education is analyzed, especially in the context of the need for distance learning. The key advantages of VR/AR technologies are highlighted: visualization of complex scientific concepts, access to virtual models of expensive equipment, safety when working with potentially dangerous objects, and increased student engagement. The practical experience of intro ducing VR/AR technologies into the educational process of the State University of Education and Moscow State University is considered using the example of several disciplines: development of an augmented reality mobile application for studying computer architecture as part of a computer science course; creation of virtual laboratory works on the discipline “Introduction to the Physics of Nanotechnology”; additional education program in virtual and augmented reality technologies; use of AR to demonstrate 3D models of molecules at the Chemistry Depart ment of Moscow State University. The integration of VR/AR technologies into the educational process contributes to the formation of modern competencies in students, expansion of the content of taught disciplines and improve ment of the effectiveness of learning in general.

Digital transport and logistics platforms are becoming increasingly widespread in the global eco nomy, contributing to an increase in the volume of supplies of goods and simplifying interaction between shippers, consignees, carriers, government agencies and other participants in the transportation process. The state prog ram “Digital Development of Belarus” for 2021–2025 provides for the development of an integration platform for the national electronic logistics system. The article examines the development of conceptual provisions for the creation of the Unified Transport and Logistics Platform of Belarus, including the goals of its creation, principles of development and implementation, basic elements, the need to take into account and resolve problematic issues, and a generalized composition of the functional services of the platform. In contrast to the developments of digital transport platforms presented in the Belarusian information space, it is proposed to unite on one platform all parti cipants of the Belarusian transport industry (transport and logistics companies and other carriers, logistics centers, shippers and consignees, vehicle owners, passengers) and entities directly and indirectly influencing transportation processes (government agencies, automated information systems), as well as to ensure the possibility of integra tion with digital platforms of other countries (EAEU, China).

The importance of developing educational web content for users with disabilities, in particular, visual, hearing, motor and cognitive impairments, is shown. Legislative norms and key principles of Web Content Acces sibility Guidelines standards aimed at adapting digital platforms to users with disabilities are considered. Speciali zed tools for automated testing and analysis of various aspects of web page accessibility are outlined. An asses sment of the digital accessibility of the university web resource is given and recommendations for its improvement are given, in terms of accessibility of resources for users with visual, hearing, motor and cognitive impairments.

The article provides an analysis of the integration of blockchain technologies into the methodology of in tellectual property valuation, which is a significant step towards the digital transformation of existing approaches in the field of intellectual property valuation. The opportunities and challenges associated with the use of modern digital technologies to improve the efficiency of intellectual property valuation are identified. The impact of block chain solutions on valuation processes is studied with an emphasis on transparency and protection of rights. New valuation models based on smart contracts are considered to create fairer mechanisms for distri buting royalties, key challenges associated with legal regulation and technical aspects of implementing blockchain technologies are identified. The need to develop uniform standards and protocols for the global integration of valuation processes is determined. Key problems associated with legal regulation and technical aspects of imp lementing blockchain technologies in the valuation process are noted. The need to develop uniform standards and protocols for the glo bal integration of this area is emphasized. The potential of blockchain technologies as a catalyst for innovation and cooperation in the international arena is shown, opening up new horizons for further research and practical applications in the field of intellectual property.

The article substantiates the use of “smart city” systems as a tool for monitoring and managing public safety. A method for recognizing and assessing potential anthropogenic threats to a “smart city” is described. The choice of factors underlying the assessment of the potential danger of individuals is substantiated, taking into account the specifics of the method’s application in automated intelligent systems of predictive analytics and intelligent video surveillance in a “smart city”. The results of developing a prototype of an intelligent system are described. The accuracy of its operation is assessed.