Enterprise automation using artificial intelligence: Methods, technologies and prospects

Autor: Iakovlev Igor, Kremleva Elmira, Guzanov Roman
Jazyk: English<br />French
Rok vydání: 2023
Předmět:
Zdroj: E3S Web of Conferences, Vol 460, p 04007 (2023)
Druh dokumentu: article
ISSN: 2267-1242
20234600
DOI: 10.1051/e3sconf/202346004007
Popis: The integration of Artificial Intelligence (AI) technologies is significantly transforming the landscape of enterprise automation across various industrial sectors. This article provides a comprehensive overview of the principal methods and AI technologies implemented in the automation of enterprise processes, along with illustrative examples of AI application in diverse industries. It delves into the key areas of machine learning, robotics, logistical process optimization, and human resource management, supported by specific cases from the automotive, pharmaceutical, and telecommunications industries. The conclusion part addresses the future outlook and potential challenges associated with the continued evolution of enterprise automation through AI, including ethical and economic considerations, the need for staff training, and security issues. The article highlights the importance of an integrated approach to the adoption of AI in production processes and enterprise management as a vital factor in enhancing their efficiency and competitiveness in the global market.
Databáze: Directory of Open Access Journals