The use of Artificial Intelligence technologies in building business architectures within the framework of the "green economy"

. The article discusses the forms of using artificial intelligence technologies in the study of business architectures in the context of the development of a "green" economy. The authors suggest using various business platforms for the development of a "green" economy. The article proves that with the help of artificial intelligence, it is possible, within the framework of sustainable development, to effectively involve business in solving problems of optimizing and greening economic processes in order to save energy resources and the environment


Introduction
In the context of global instability and geopolitical changes taking place in the world, there is a problem of increasing production potential and significantly increasing the competitiveness and efficiency of various industries, as well as intellectual capital and human resources.Sufficient attention is paid to the solution of these issues by the Government and the President.
It should be noted that the key idea for the development of industry and increasing its competitiveness is the creation of the state program of the Russian Federation for the period up to 2020.The goal of the program is "... the creation in Russia of a competitive, sustainable, balanced industry capable of effective self-development based on integration into the global technological environment and the development of advanced industrial technologies aimed at the formation of new innovation markets products that effectively solve the tasks of ensuring the country's defense capability" [7, p. 5].The success of this goal will determine Russia's position in the world.
From a practical point of view, such processes mean an increasing merging of the real and virtual worlds with the formation of a single, hybrid world in which a new type of economy is beginning to form on the basis of cognitive, cloud technologies and computing, big data technologies -a digital economy using artificial intelligence tools.
The key factor influencing the development of business and organizations in modern conditions is the change in the environment and processes of forecasting the activities of companies in the long term.In this case, for effective work, a quick reaction and the ability to adapt to changes and transformations are necessary.

Materials and methods
According to a study conducted by GC "STU", only 25% of specialized metropolitan universities and business schools can teach their students such disciplines as "Designing business architecture" and "Modeling business processes using computer technology."In the regions, this ratio is, according to the most positive estimates, 3-5%.Therefore, most of yesterday's graduates are not able to professionally solve managerial tasks within their organizations and companies.
Educational standards in the direction of "Management", "Organization Management", as well as all possible educational programs and online courses do not give a complete picture of the architecture of business processes and the management of the organization.
In 2019, the President of the Russian Federation approved the National Artificial Intelligence Strategy.(Decree of the President of the Russian Federation № 490 dated 10.10.2019).
The experimental data obtained in the form of tables and diagrams, their statistical processing was carried out using Microsoft Office and Statistica 10.For each sample, the arithmetic mean and their standard errors were calculated.Differences between groups were assessed using the parametric Student's t-test.Differences were considered statistically significant at 95 % confidence level (p ≤ 0.05).
The strategy is aimed at achieving the following goals: • Ensuring the growth of welfare and quality of life of the population.
• Ensuring national security and law and order.
• Achieving sustainable competitiveness of the Russian economy.
On the basis of the Decree of the President of the Russian Federation dated 10.10.2019, it was decided to introduce artificial intelligence courses into the curricula of the humanities.In this regard, at Moscow State University named after M.V. Lomonosov, by the Decree of Rector V.A. Sadovnichy, it was decided to teach Artificial Intelligence disciplines in the framework of inter-faculty courses.
The interfaculty course "Artificial Intelligence (AI) in business communications" developed by us allows students of various training areas to get acquainted with the features of business architectures, to explore the possibilities of artificial intelligence technologies in improving business communication.
The key idea of the course is the use of artificial intelligence mechanisms in the field of business communications, the features of building a business architecture capable of applying AI technologies to improve communication in business and solving key infrastructure, logistics, and communication tasks.

Results
In the system of modern higher education, the processes of studying and mastering the design tools of various business processes allow future specialists to develop small and mediumsized businesses.
It is worth noting that the inconsistency of existing educational programs with the requirements of modern business reduces the possibilities of managerial efficiency the study of the basics of management should be adapted to modern business conditions.Thus, the main training of qualified specialists continues to take place outside the walls of higher educational institutions.In this regard, it is worth noting that among the course participants (41 people), undergraduate and graduate students of Lomonosov Moscow State University, 71% noted that in the course "Artificial Intelligence in business Communications" they were also interested in the section of business architecture and the possibility of creating their own business model.10% (mainly students studying in the areas of "Business Management and Entrepreneurship", "Economics", "Management") noted that the study of business architecture is of interest to them as one of the tools for organizing a management system.19% said that they are familiar with artificial intelligence only at the household level and for them the study of this course is interesting only from the point of view of an educational discipline.

Fig. 2. The results of a survey of students of the course "Artificial Intelligence in business communications" on the motivation of studying this course
Of particular importance is the fact that students of the humanities have the opportunity to use artificial intelligence tools to realize their ideas in creating and promoting their own business project.
The course reveals the possibilities of using artificial intelligence in the fields of education, marketing, entrepreneurship.Considerable attention in the course is paid to language as a means of intercultural and business communication and the use of information technologies for its study.It is supposed to touch upon the problem of ethics of business communications and the culture of communication in the virtual space within the framework of separate topics.
As part of the course, students listened to and got acquainted with the history and development of digital technologies in Russia and in the world.Reports were presented on the analysis of digitalization and the contribution to the development of artificial intelligence of modern IT companies (Apple, Huawei, Google, Microsoft).Preparation for the reports allowed students to study more thoroughly about the history of the creation and development of these companies, as well as to find out their contribution to the development of the artificial intelligence system.Also, despite the fact that the course is aimed at studying artificial intelligence, management ethics and business communications occupy an important place both within the framework of the study of the discipline and in the further architecture of business processes.This is a separate part of the course.Students in practice learn to create resumes, write business letters, conduct interviews and negotiations, master the business protocol.While studying the topic "The use of artificial intelligence technologies in building business architectures: theories and practice", students get acquainted with the business modeling system that allows them to design an effective organization -Business Studio, and also explore the possibilities of various architectural repositories.Students have the opportunity to learn about modern business architecture models: • Association for Cooperative Operations Research and Development -it is used for insurance, as well as for financial accounting; • eTOM and FRAMEWORX -this model is designed for telecommunications industries; • Business Motivation Model -with its help, you can provide a structure and a scheme for developing business plans and communications management in an organized manner; • Control Objectives for IT is a methodology designed for use in information technology management; • Information Technology Infrastructure Library -this library that describes the best ways to organize the work of departments or enterprises that provide IT services; • Process Classification Framework -this model is multifunctional and versatile, so it can be used in the defense, aerospace, automotive, education, oil and gas industries, electric power and even telecommunications; • Value Reference Model -it is used in network management and in the management of changes in values.
As part of the final work, a business game was held, which is aimed at consolidating the knowledge gained and building on the basis of the studied materials its own business model for the proposed business idea, using modern management technologies and artificial intelligence capabilities.
Participation in this game and modeling of your business idea allows students, among others, to get acquainted with the work of an analyst.The student gets planning skills, learns to identify risks.The key for him is the formation of effective communication skills, as well as being a leader and an architect.

Discussion
In terms of the level of business innovation activity, the Russian Federation lags behind most of the most developed countries -in 2021 its value was 11.9%, while in Canada -79.3%, Germany -68.8%, USA -64.7%, France -54.8%,Japan -54.2%, Great Britain -47.3%,China -40.8% [3].According to the data of the Global Innovation Index for 2022, the innovation potential available in the country is used by 61%, which is explained by the insufficient effectiveness of the national innovation system, institutional conditions and regulation of innovation activities.
The lag of the Russian Federation in these indicators tends to increase, which indicates the need to radically change the business environment in the field of technological innovation in order to increase the motivation of companies and corporations and provide them with the necessary resources for the development and implementation of technologies as the main factor of profit growth and capitalization of companies and corporations [3].
Nevertheless, the traditional management tools used by companies no longer meet the rapidly developing conditions of the economy and do not fully meet the needs of the business community.Increasing competitiveness and efficiency of work contributes to the introduction of new approaches and models of management of enterprises and organizations [9].
Within the framework of the business process standardization system, the modeling methodology (process description methodology) occupies a central place.It includes a description of approaches to creating models of the organization's processes.Such a technique should take into account the capabilities and limitations of the selected software product [2].Two complementary tools are used to describe the processes: methodological and programmatic [1].
One of the most promising areas that allows modern companies to work successfully in the conditions of transition to the digital economy is Enterprise Architecture (Enterprise Architecture -EA) [4].In this regard, the study of disciplines and modules similar to the course described above in the humanities profile allows students to significantly expand the boundaries of business perception.In this case, such materials should be considered from the point of view of studying artificial intelligence systems, which is an important link in the Fourth Industrial Revolution.The introduction of AI technologies has an impact on the global economy already today, and in the future their impact will grow even stronger [11].

Conclusions
Students studying the course "Artificial Intelligence in the field of business communications" and getting acquainted with the work of an analyst allows them to expand their capabilities and improve their managerial competencies.In turn, the development of business design models contributes to the optimization of management processes.The use of information technologies in general and artificial intelligence tools in particular contributes to the development of the economy and the improvement of digital literacy of citizens.The study of these aspects by students of the humanities makes it possible to implement artificial intelligence technologies even more effectively in the architecture of business, to look at the tasks set from a different angle from the vision of students of natural science and technical specialties.Optimization of these processes of development of the management sphere allows expanding the possibilities of entrepreneurial activity and in the future may have a beneficial effect on the development of the innovative economy of the country.

Fig. 3 .
Fig. 3.The innovation segment in the overall structure of the economy According to the estimates of the Federal State Autonomous educational institution of Higher Education "National Research University Higher School of Economics", the return on investment in technological innovations in the Russian Federation is one third lower than in the countries of the Organization for Economic Cooperation and Development.According to the data of the Global Innovation Index for 2022, the innovation potential available in the country is used by 61%, which is explained by the insufficient effectiveness of the national innovation system, institutional conditions and regulation of innovation activities.The lag of the Russian Federation in these indicators tends to increase, which indicates the need to radically change the business environment in the field of technological innovation in order to increase the motivation of companies and corporations and provide them with the