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Artificial Intelligence Technology as an Economic Accelerator of Business Process
12th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2021 ; 1032 SCI:355-366, 2022.
Article in English | Scopus | ID: covidwho-1787732
ABSTRACT
The article covers a range of problems related to the need to use artificial intelligence (AI) technology, on the one hand, as an economic accelerator of business processes in conditions of high competition in the global market, and as conditions for the growth of the economy as a whole. The main purpose of the article is to prove the feasibility of developing a conceptual framework that reveals the value of AI technology in areas such as probabilistic thinking, machine learning and computer vision to help managers better understand how promising achievements can be achieved that can eliminate some limitations in business growth and create a new wave of opportunities in the socio-economic development of the country. The results of the study confirmed that AI technology firstly, helps to create an innovative product, better serve customers, allocate employees to solve more creative tasks, reduce costs and get high results;secondly, it gives a clear incentive to its developers, companies, politicians and users to solve the socio-economic problems facing them;thirdly, removes restrictions in obtaining massive datasets based on global cooperation in the field of digital transformation. An assessment of the possibility of using the experience of AI technology development in advanced countries has been proposed and a number of measures have been developed to adapt the development of foreign AI technology to meet the requirements of the national program of the digital economy of Russia in response to the COVID-19 pandemic. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 12th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2021 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 12th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2021 Year: 2022 Document Type: Article