ISSN 2712-7834
Melnikov Andrey

Melnikov Andrey

Ph.D (Engineering Sci.), head of innovative programs and R&D department, Pipeline transport institute (PTI) (Moscow, Russia)

Bachurin Alexander

Bachurin Alexander

Ph.D (Engineering Sci.), Leading researcher of the innovative programs sector, Pipeline transport institute (PTI) (Moscow, Russia)

Raspopov Andrey

Raspopov Andrey

Ph.D (Engineering Sci.), deputy director of the innovative programs center, R&D and industry standardization, Pipeline transport institute (PTI) (Moscow, Russia)

Tsvetkova Valentina

Tsvetkova Valentina

DrS (Tech. Sci.), professor, Institute of Scientific Information for Social Sciences, Russian Academy of Sciences (Moscow, Russia)

On the development and adoption of Artificial intelligence systems in organizations

The article presents an overview of challenges related to the development and adoption of Artificial intelligence systems in organizations. Various barriers to the introduction of Artificial intelligence technologies and the ways to overcome them are considered. Approaches to modeling Artificial intelligence systems and integrating them with traditional corporate systems are presented, which help increase employee loyalty to these innovations and reduce the complexity level while adapting and scaling new technology in organizations.

Keywords: Artificial intelligence; data analytics; modeling; decision-making; corporate management systems.

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For citation: On the development and adoption of Artificial intelligence systems in organizations / Melnikov A.V., Bachurin A.I., Raspopov A.A., Tsvetkova V.A. / English transl. by Nikulichev M.Y. // Social Novelties and Social Sciences. – Moscow : INION RAN, 2021. – N 2. – P. 45–51.
DOI: 10.31249/snsn/2021.02.03, 10.31249/snss/2021.02.04
Количество посещений страницы: 64