Application and Economic Effects of Integrating Artificial Intelligence Technologies in Modern Business

ABSTRACT: This paper explores the application and economic effects of integrating artificial intelligence (AI) technologies in modern business. AI technologies are becoming key drivers of innovation, efficiency, and productivity across various sectors, including the financial sector and supply chain management. The automation of routine tasks, enhancement of customer experience, and optimization of business processes result in increased efficiency and effectiveness. Additionally, AI integration enables better decision-making based on the analysis of large datasets, reduction of operational costs, and identification of new growth opportunities. Predictive analytics is employed to accurately forecast market trends and risks, while fraud detection algorithms provide significant support in protecting financial institutions. This paper also emphasizes the role of AI in improving supply chain management through inventory optimization, logistics, and risk management. It concludes that AI not only enhances operational efficiency but also provides strategic insights crucial for maintaining a competitive edge in the modern business environment.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-15
DOI
https://doi.org/10.5281/zenodo.15221399
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Application and Economic Effects of Integrating Artificial Intelligence Technologies in Modern Business

Zenodo (CERN European Organization for Nuclear Research)
Internet of Things and AI
article

Application and Economic Effects of Integrating Artificial Intelligence Technologies in Modern Business

article en

Abstract

ABSTRACT: This paper explores the application and economic effects of integrating artificial intelligence (AI) technologies in modern business. AI technologies are becoming key drivers of innovation, efficiency, and productivity across various sectors, including the financial sector and supply chain management. The automation of routine tasks, enhancement of customer experience, and optimization of business processes result in increased efficiency and effectiveness. Additionally, AI integration enables better decision-making based on the analysis of large datasets, reduction of operational costs, and identification of new growth opportunities. Predictive analytics is employed to accurately forecast market trends and risks, while fraud detection algorithms provide significant support in protecting financial institutions. This paper also emphasizes the role of AI in improving supply chain management through inventory optimization, logistics, and risk management. It concludes that AI not only enhances operational efficiency but also provides strategic insights crucial for maintaining a competitive edge in the modern business environment.

Zenodo (CERN European Organization for Nuclear Research)
University of Novi Sad (RS)
Industry, innovation and infrastructure
Openalex Percentile: Top 43%
Internet of Things and AI
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