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.
KeyWords:
artificial intelligence, business, economic effects, financial sector, supply chain, automation, predictive analytics.
References:
- Baldwin, R. (2019). The globotics upheaval: Globalization, robotics, and the future of work. Oxford University Press.
- Wewege, L., & Thomsett, M. C. (2020). The digital banking revolution. Walter de Gruyter GmbH.
- Auer, R. et al. (2023). The technology of decentralized finance (DeFi). BIS Working Papers.
- Bilan, Y. et al. (2022). Artificial intelligence and business innovation. Springer.
- Kahyaoğlu, S. (2021). Artificial intelligence in business management. IGI Global.
- Moloi, T., & Marwala, T. (2020). Artificial intelligence and the future of business. Palgrave Macmillan.
- Kuzior, A. et al. (2023). Artificial intelligence: Concepts and applications. Routledge.
- Hackius, N., & Petersen, M. (2017). Blockchain in logistics and supply chain: Trick or treat?. Proceedings of the Hamburg International Conference of Logistics.
- Ramos, A. et al. (2022). AI in education: Transforming learning systems. Educational Technology Publications.