The modern trends of development of AI technologies

Abstract

Purpose: The purpose of the work is to determine and evaluate the main trends of development of technologies of AI in the national economy. Technologies of AI are used by a lot of countries in all spheres of public life; a lot of money is invested into research and development of new technologies; new normative documents and standards of implementation of IT into everyday life are adopted. Application of intellectual technologies changes the environment and transforms the traditional ideas of usual processes, but their implementation is still chaotic. The obtained results and effects of the work of AI are not systemic – however, they do influence the economic growth in certain spheres and corporations, which proves their high potential and hidden opportunities. That’s why the authors aim at solving the following tasks: performing an overview of the main achievements in the sphere of AI, evaluating the volumes of investments of various governments into scientific research on search for new intellectual solutions, providing examples of the most progressive intellectual technologies that are applied by various corporations around the world, considering the sub-complexes of AI, and systematizing the most perspective trends of development of AI for 10 years. Studying the accumulated experience of development and implementation of “smart” technologies will allow determining the most successful and popular technologies in the modern society. Methodology: The authors use the methods of normative & legal analysis and evaluation of the modern situation in the sphere of state management of the national economic system, content analysis, statistical analysis, formalization, and analogy. Results: AI allows solving a lot of tasks, which the humankind was facing in the course of several centuries. The main problem consists in adequate application of new achievements of science and technology in the practical life of society. The results of implementation of certain intellectual solutions into various spheres of economy and public life already showed large positive results (growth of effectiveness, growth of speed, automatic processing new knowledge, etc.), which confirms large perspectives and potential of AI. The authors study the main components of AI (machine learning and deep learning) and determine the future trends of search and development of intellectual technologies. Conclusions: The specifics of this work consist in systematization and complex substantiation of the main trends of development of AI in the world market. The performed overview allows for evaluation of the scales of current transformations in the global economy and determining the most breakthrough directions of future scientific research in the sphere of AI.