2024 12

Implementation of Artificial Intelligence in the Activities of Organizations

Klius Yu. І.,
Doctor of Economics, Professor
ORCID https://orcid.org/0000-0002-1841-2578
e-mail: klius@snu.edu.ua,
Humenyuk V. V.,
Postgraduate student
ORCID https://orcid.org/0009-0002-2475-6294
e-mail: humenyukvv@ukr.net,
Eastern Ukrainian National University named after V. Dahl, Kyiv.

Citation Format
Klius Yu. І., Humenyuk V. V. Implementation of Artificial Intelligence in the Activities of Organizations. Management of Economy: Theory and Practice. Chumachenko’s Annalscollection of scientific papers / Institute of Industrial Economics of the NAS of Ukraine. Kyiv, 202
4. P. 154-167 . DOI: https://doi.org/10.37405/2221-1187.2024.154-167 

Language
Ukrainian

Resume
As AI is one of the key technologies shaping the digital economy, its application covers a wide range of business processes, from automation of routine tasks to strategic decision-making. This article analyzes current research and publications on the impact of artificial intelligence (AI) on business activities, as well as the opportunities and challenges that arise in the process of its implementation. The article discusses the global trend of growing popularity of generative AI, which allows creating content, optimizing operational processes, and improving customer interaction.
Particular attention is paid to the analysis of the benefits of using AI in business, including increased productivity, resource savings, personalization of services, improved analytics, and accelerated decision-making. The study reviews the results of studies confirming the effectiveness of AI integration in companies from various industries, including the financial sector, retail, manufacturing, and logistics.
However, the authors focus not only on the positive aspects but also on the barriers that complicate the implementation of AI in business processes. Among the main challenges are the high cost of development and implementation, the need for specialized personnel, the complexity of integration into existing business models, and the issues of ethics and data security.
The article proposes a step-by-step approach to AI implementation, which includes assessing the company’s technological maturity, identifying key performance indicators, selecting relevant solutions, training personnel, and continuously monitoring the efficiency of AI systems. The author describes the Deloitte AI Readiness model that allows companies to assess the level of readiness to use AI and formulate a strategy for its implementation. In general, this study emphasizes the importance of a comprehensive approach to the implementation of AI in business, taking into account all possible risks and obstacles. The conclusions and recommendations can be useful for both business leaders and researchers studying the impact of innovative technologies on the economy.

Keywords
artificial intelligence, AI implementation, automation, digital transformation.

Referensces

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Full Text .pdf

Received: 06.11.2024
Accepted: 29.11.2024
Published: 20.12.2024