Artificial Intelligence Technologies in Digital Modernization of Organizations

DOI

10.2991/aebmr.k.200730.122How to use a DOI?

Keywords

digitalization, artificial intelligence, business process, digital transformation, organization

Abstract

Currently, people in different media sources is actively discussing the negative effects of computers and robotic systems that can affect various aspects of people’s lives, significantly limiting it. This article describes the terms: “machine learning”, “artificial intelligence”, “neural networks”; some prerequisites and possibilities of using artificial intelligence systems in various areas of society are considered. The detailed analysis of the necessary computing devices for solving the problems of digital transformation of organizations is presented. Concrete examples of the use of artificial intelligence systems in modern sectors of the economy, at enterprises and in institutions. This paper gives examples of the use of decision support systems based on artificial intelligence technologies in various fields. As possible computing devices for accelerating neural network operations, graphics cards, specialized neural network accelerators, and neuromorphic processors are considered. The article notes that the architecture of neural network computers is more promising than the classical one Neumann architectures currently used due to the possibility of highly parallel operation and very low energy consumption in the process of solving problems. As a result of the analysis of the technologies used, the authors substantiate the conclusion that a neural network is software and ideally suited for solving the issues of digital modernization of an organization. A neural network, learning from specific examples given by humans, is able clearly fulfill the tasks set before it and, if necessary, make decisions independently. With the introduction of artificial intelligence systems in the organization, there will be significant savings in material and labor resources as a result of reduced decision-making time.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - V.A. Romanchuk
AU  - S.A. Kartashov
AU  - L.N. Tokhtieva
AU  - I.G. Komlev
AU  - A.K. Kadyrov
PY  - 2020
DA  - 2020/08/01
TI  - Artificial Intelligence Technologies in Digital Modernization of Organizations
BT  - Proceedings of the Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020)
PB  - Atlantis Press
SP  - 666
EP  - 670
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200730.122
DO  - 10.2991/aebmr.k.200730.122
ID  - Romanchuk2020
ER  -