Abstract:

The basis of modern economic development is the large-scale introduction of information and communication technologies that are used in almost all sectors of economic development. The massive introduction of digital technologies into the global economy led to the digitalization of entire branches of the global economic system. Today, the world is at the threshold of the fourth industrial revolution. The basis of which will be the development of the digital economy, causing the digital transformation of all spheres of human activity. Today, innovative technologies are increasingly gaining ground in both the industrial and financial sectors. Big data, cyber-physical systems, additive 3D technology, cloud computing provide new methods and forms for constructing business models, opening new horizons in providing innovative forms of managing various economic entities. One of the breakthrough directions in the field of information and communication technologies is the introduction of artificial neural networks or artificial intelligence. Nowadays this technology is used both in industrial enterprises and in financial institutions. Neural networks moved from the field of scientific research to the practical application. The paper discusses the basic concepts and principles of the construction of artificial neural networks, analyzes the currently existing classifications of neural networks. A study was conducted in the field of evaluation of the global and Russian neural network technologies. Special attention was paid to the definition of financial indicators. A comparative analysis was made on the development dynamics of the Russian and world market of artificial intelligence. The main directions for the development of neural network technologies and their applications were determined, and the prospects for the development of neural networks technologies were assessed in various economic areas.