2949-1290 2 4 7 2023 1-71

UNK RUS 4-15 Peter the Great St.Petersburg Polytechnic University Chernyagin Anton

Saint Petersburg, Russia

N-1787-2013 56652307100 0000-0001-6251-7644 Imperial College London Svetunkov Sergey

London, The United Kingdom

Study of the concept of Bayesian optimization and practical use of its algorithms in the Python programming language The aim of the study is to explore the principles of Bayesian optimization and its potential for solving complex problems, including economic ones. This article presents the main aspects of Bayesian optimization such as selection of a priori distribution, estimation of posterior distribution and selection of optimal model parameters. An example of applying Bayesian optimization to find hyperparameters using the Python programming language is presented. Bayesian optimization algorithms and their application to improve machine learning models were studied. The use of Bayesian optimization algorithm for finding hyperparameters can be useful in the future for optimizing various machine learning models such as neural networks, SVM and others. 10.57809/2023.2.4.7.1 330.47 Bayesian optimization hyperparameters Python machine learning https://technoeconomics.spbstu.ru/article/2023.7.1/ 1-Chernyagin-Svetunkov.pdf

UNK RUS 16-24 OOO Promenad Gimadeev George

Saint Petersburg, Russia

Application of the simulation modeling method for solving content marketing automation tasks The paper describes the creation of a simulation model of the activity of a content manager to increase the effectiveness of marketing, and also defines the relationship of content marketing with Internet marketing in general. Simulation modeling in the AnyLogic program was used as the main research method. The literature sources on the topic of content analysis were analyzed, the processes in the work of a content manager that are subject to automation were highlighted. A simulation model of automation of the content manager's activity in the AnyLogic program was also developed and the economic efficiency of the implemented measures was justified. The scientific novelty of the proposed method lies in the fact that the model takes into account the need to create reports on promotions, as well as the need to conduct SEO promotion and evaluate the effectiveness of advertising on different Internet platforms: yandex.direct and google.awards. The results of the research can be used by IT specialists to create and improve software products. 10.57809/2023.2.4.7.2 330.47 simulation modeling content analysis Internet marketing marketing automation AnyLogic https://technoeconomics.spbstu.ru/article/2023.7.2/ 2-Gimadeev.pdf

UNK RUS 25-37 Peter the Great St.Petersburg Polytechnic University Blinov Sergey

Saint Petersburg, Russia

Architecture of the software asset management system Software Asset Management (SAM) system is a set of measures aimed at optimizing the acquisition, deployment, use and maintenance of software assets in organizations. Software asset management processes require not only a competent management system, but also support from IT services. This paper presents a way to define the SAM application architecture using a client-oriented approach. Terminological analysis was carried out, software management process was modeled, requirements for the application were compiled and the corresponding functionality of its modules was determined. 10.57809/2023.2.4.7.3 330.47 software asset management license management software utilization SAM architecture https://technoeconomics.spbstu.ru/article/2023.7.3/ 3-Blinov.pdf

UNK RUS 38-45 Tashkent State Transport University Giyosidinov Boburbek

Tashkent, Uzbekistan

Peter the Great St.Petersburg Polytechnic University Fedorchuk Vladimir

Saint Petersburg, Russia

OOO Radio Communication and Navigation Orlova Valeria

St. Petersburg, Russia

Digital transformation of trade: trends, stages and factors of digitalization at the sectoral level This research aims to identify the key stages of digital transformation of trade. In the course of digitalization of the world economy, certain transformations are taking place at the level of all its sectors. This phenomenon is explained by the fact that the result of the introduction of digital technologies is a complex transformation of economic models, which implies the formation of new management systems, business models, types of social attitudes and consumer societies, i.e. the digital transformation of the economy consisting of many sectors. However, it is important to realize that the emergence of new digital technologies and knowledge, the possibility of their application in different ways is reflected in the development of each individual industry, which indicates the relevance of this study. When studying the state of any industry at the current stage of economic development, we face the need to consider the process of its digital transformation. In this regard, analysts in the development of trading companies need to identify and systematize data on the sequence of stages of digital transformation in trade, as well as their content. In the process of the research the main directions and trends of digitalization of trade are considered, the interrelation of the factors of digitalization of the economy with the processes of development and digital transformation of world trade at the industry level is analyzed. As a result of the study, the author's vision of the main stages of digital transformation of trade is presented. 10.57809/2023.2.4.7.4 330.47 digital transformation digitalization trade digitalization factors digitalization stages digital space https://technoeconomics.spbstu.ru/article/2023.7.4/ 4-Giyosidinov-Fedorchuk-Voronova.pdf

UNK RUS 46-60 OOO “Cloud Technologies” Motychko Veronika

Moscow, Russia

Development of a model for automating the sales process of advertising materials in media holding In the modern digital age, media holdings face challenges and opportunities related to managing the lifecycle of sales of advertising materials. Today, the media holding market has become very dynamic and competitive. Large amounts of information, constant changes in the requirements of advertisers and consumers, as well as a variety of communication channels require media holdings to quickly adapt and be flexible in managing sales processes. This study will propose an automation model as a basis for analyzing the maturity and improvement of such a process in companies. As a result of the research, a TO BE automation model was obtained, and a list of the main digital services necessary for this kind of automation was proposed. The research is based on the existing literature and a comparative example involving the company, the media holding in the Russian Federation. 10.57809/2023.2.4.7.5 330.47 automation digital solution digitalization CRM customer experience LTV big data sales process media holding https://technoeconomics.spbstu.ru/article/2023.7.5/ 5-Motychko.pdf

UNK RUS 61-71 Tashkent State University of Economics Abdukhalilova Laylo

Tashkent, Uzbekistan

0000-0001-9292-7759 Peter the Great St.Petersburg Polytechnic University Iliashenko Oksana

Saint Petersburg, Russia

Peter the Great St.Petersburg Polytechnic University Alchinova Dayana

Saint Petersburg, Russia

Applying machine learning methods in electronic document management systems This article discusses methods and schemes for using machine learning in automating document management business processes. The scenarios described in the article can be useful for companies involved in document workflow automation or related areas (for example, email services) or ECM systems in general, and represent a generalization of the experience of specialists in the use of machine learning methods in document management. Several machine learning models used in business process automation solutions in practice are also considered. The results of the study, based on the analysis of all the points considered in the article, identified the main possible areas of development that arise when using machine learning models in electronic document management systems, which will be useful for data scientists developing such areas of AI, as machine learning. 10.57809/2023.2.4.7.6 330.47 business processes documentation support for management machine learning electronic document management systems data analytics https://technoeconomics.spbstu.ru/article/2023.7.6/ 6-Abdukhalilova-Ilyashenko-Alchinova.pdf