Big Data analysis is becoming an everyday task for companies all over the world, including Russian companies. Due to advances in technology and the reduction in the cost of storage systems, companies can now collect and store large volumes of heterogeneous data. The important step of extracting knowledge and value from such data is a challenge that will eventually be met by all companies seeking to maintain their competitiveness and place in the market. However, companies face several challenges when it comes to collecting, pre-processing, and integrating data into cohesive data sets designed to deliver analytics. In this article, the above problems and possible solutions are illustrated using the example of cleaning, integration, and normalization of data obtained in the measurement of indicators for the Vanyukov melting furnace process. The article considers an approach to the study of metallurgical processes using the analysis of large operational control data sets. Standard methods of processing the data sets of operational process control are used. The correlation analysis of the main process parameters is carried out. The results are interpreted for their further practical application.

Today the industry is facing a shortage of skilled workers and an aging workforce, which will eventually lead to a loss of knowledge. But augmented reality technology can connect field workers with experts who are able to provide remote guidance in real time. The subsequent advantage is that the information obtained by AR devices can be used as accumulated successful experience in the future, which facilitates decision-making in specific business processes of the company. With AR, employees gain experience and skills much faster. This paper shows the application of augmented reality technology in the maintenance of electromechanical equipment. The main functions of the augmented reality system for servicing electrical equipment are presented, the solution to the problem of integrating an augmented reality software application with existing automation systems is shown, and the methods of interaction of the developed software module with third-party modules, for example, various analytical modules, etc. are described.

For the last thirty years, UNESCO has been repeatedly raising questions of accessibility and quality of education for every child, teen, and adult by implementing the “Education for All” program. The new concept of education proposed by UNESCO aims at transforming people’s lives and formulates the following sustainable development goal “To provide inclusive and equitable quality education and create lifelong learning opportunities for all. One strategy for achieving this goal is to use and develop information and communication technology (ICT) to strengthen education systems, knowledge dissemination, access to information, and quality and effective learning. The aim of the work is to increase the efficiency of students’ learning of geometrical and graphic disciplines by developing a pilot electronic course in LMS Moodle and special software implementing elements of individualization of the learning process