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Enterprise automation using artificial intelligence: Methods, technologies and prospects

Igor Iakovlev, Elmira Shamilyevna Kremleva, Roman Guzanov

Year
2023
Citations
4
Access
Open access

Abstract

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.

Keywords

AutomationAutomotive industryEngineering managementProcess (computing)Computer scienceKnowledge managementManufacturing engineeringEngineeringProcess managementArtificial intelligence

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