Use of Artificial Intelligence in the Digital Economy
https://doi.org/10.21686/1818-4243-2025-2-46-54
Abstract
This paper examines the role of artificial intelligence (AI) in the development of the digital economy. It analyzes key areas of AI use in various industries: from forecasting market trends and optimizing production processes to improving the efficiency of logistics and financial transactions. Particular attention is paid to machine learning models that allow analyzing large volumes of data for strategic decision-making. It also touches on the challenges associated with the implementation of AI, including cybersecurity, job losses, and ethical aspects. The paper presents practical examples of using AI to analyze the market and assess the impact of automation on employment. The result of the study was the generalization that the competent implementation of AI contributes to increasing the competitiveness of countries, accelerating innovation, and sustainable economic growth in the context of global digitalization. Materials and methods. There are several simple methods that can be used in Python to perform market analysis using artificial intelligence, including data analysis using libraries such as pandas for data processing and scikit-learn for machine learning. One of the simplest options is trend analysis using the regression method. Here is an example of simple code for market analysis using linear regression. Results. Finally, we create a model that predicts sales volume based on the price of a product. We use simple linear regression to analyze the relationship between price and the number of units sold. The code also visualizes the relationship between price and sales volume, and outputs the model coefficients. Conclusion. Using artificial intelligence methods such as linear regression allows us to effectively analyze market trends and identify relationships between key indexes such as price and sales volume. Using Python libraries such as pandas and scikit-learn simplifies data processing and construction of predictive models. Visualization of results helps to better interpret the obtained dependencies, which can be a useful tool for making informed management decisions and optimizing marketing strategies.
About the Author
N. A. Olimov
Polytechnic Institute of the Tajik Technical University named after academician M.S. Osimi
Tajikistan
Tajikistan
Nasimjon A. Olimov - Assistant Professor of the Department of Digital Economy
References
1. Bailey Martin Neil. Machines of Mind: The Case for an AI-Powered Productivity Boom [Internet]. Available from: https://www.brookings.edu/articles/machines-of-mind-the-case-for-an-ai-powered-productivity-boom/.
2. Brynjolfsson Erik. The Coming Productivity Boom [Internet]. Available from: https://www.technologyreview.com/2021/06/10/1026008/the-coming-productivity-boom/.
3. Smialek Djinnah. Are We in a Productivity Boom? Look to 1994 for Clues [Internet]. Available from: https://www.nytimes.com/2024/02/21/business/economy/economy-productivity-increase.html.
4. Kantrowitz, Alex. Can Demis Hassabis Save Google? [Internet]. Available at: https://www.bigtechnology.com/p/can-demis-hassabis-save-google.
5. Hur, Crystal. Nvidia Overtakes Microsoft to Become World’s Largest Public Company. CNN [Internet]. Available at: https://edition.cnn.com/2024/06/18/markets/nvidia-largest-public-company/index.html.
6. ABC7 News. Is the Pandemic Exodus Over? San Francisco’s Population Has Started to Grow Slightly, Census Bureau Data Show. [Internet]. Available at: https://abc7news.com/san-francisco-population-us-census-bureau-exodus-people-coming-back-to/14525889/.
7. Brynjolfsson Erik and McAfee Andrew. The Business of Artificial Intelligence [Internet]. Harvard Business Review. Available from: https://hbr.org/2017/07/the-business-of-artificial-intelligence.
8. McKinsey. The State of AI in 2023: The Year of Generative AI Breakout [Internet]. Available from: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year.
9. Davenport Thomas and Harris Jin. Competing with Analytics. Harvard Business Press; 2017.
10. Microsoft and Amazon Dominate the Cloud Services Market. Infographics [Internet]. Available from: https://www.statista.com/chart/30489/revenue-from-cloud-services-by-cloud-sector-market-leaders/.
11. Jacobides Michael G., Bruson Stefano and Candelon Francois. Evolutionary Dynamics of the Artificial Intelligence Ecosystem [Internet]. Strategy Science. 2021. No. 6(4). P. 412-435. DOI: doi/10.1287/stsc.2021.0148. Available from: https:// pubsonline.informs.org/doi/10.1287/stsc.2021.0148.
12. Russell Stuart J. and Norvig Peter. «Artificial Intelligence: A Modern Approach» (2nd edition). Upper Saddle River, NJ: Prentice Hall; 2003.
13. Osborne Martin and Rubinstein Ariel. «A Course in Game Theory.» Cambridge, Mass.: MIT Press; 2001.
14. Wooldridge G. Reasoning about Rational Agents. Massachusetts Institute of Technology; 2000.
15. George A. Akerlof and Robert J. Shiller. Animal Spirits: How Human Psychology Drives the Economy, and Why It Matters for Global Capitalism. Princeton, NJ: Princeton University Press; 2009.
16. Kitay lidiruyet v mire po kolichestvu patentov v oblasti iskusstvennogo intellekta = China Leads the World in Artificial Intelligence Patents [Internet]. Zhen’min’ Zhibao. 09.07.2021. People’s Daily. Beijing; 2021. Available from: http://russian.people.com.cn/n3/2021/0709/c31517-9870366.html. (In Russ.)
17. V Kitaye imeyetsya boleye 210 tys. novykh predpriyatiy, svyazannykh s II = There are more than 210 thousand new AI-related enterprises in China [Internet]. Zhen’min’ Zhibao. 09.07.2021.People’s Daily. Beijing; 2020. Available from: https://rossaprimavera.ru/news/5a0f548c. (In Russ.)
18. Kitay prodvigayet glubokuyu integratsiyu iskusstvennogo intellekta i real’noy ekonomiki = China promotes deep integration of artificial intelligence and the real economy [Internet]. Renmin Ribao. 09/06/2022. People’s Daily. Beijing; 2022. Available from: http://russian.people.com.cn/n3/2022/0906/c31518-10143923.html. (In Russ.)
19. V «umnykh» metro Kitaya zapushcheny raznoobraznyye servisy = Various services launched in China’s «smart» subways [Internet]. Renmin Ribao. 02/15/2022. People’s Daily. Beijing; 2022. Available from: http://russian.people.com.cn/n3/2022/0215/c31518-9957989.html. (In Russ.)
20. Laptev V. A. Ecosystem of the digital economy. Bol’shaya rossiyskaya entsiklopediya = Great Russian Encyclopedia. 2022; 8. DOI: 10.54972/00000042_2022_8_42. (In Russ.)
21. Tansley A. G. The Use and Abuse of Vegetational Concepts and Terms. Ecology; 1935; 16; 3: 284-307.
22. Barykin S.Y., Kapustina I.V., Kirillova T.V. et al. Economics of Digital Ecosystems. Journal of Open Innovation; 2020; 6; 4.
23. Andreyeva L.V., Gavrin D.A., Yegorov P.Ye. et al. Tsifrovaya ekonomika. Kontseptual’nyye osnovy pravovogo regulirovaniya biznesa v Rossii = Digital economy. Conceptual foundations of legal regulation of business in Russia. Ed.: V.A. Laptev, O.A. Tarasenko. Moscow: Prospekt; 2021. (In Russ.)
24. Moore J.F. Predators and Prey: a New Ecology of Competition. Harvard Business Review. 1993; 71; 3: 75-86.
25. Solov’yov V.I. Matematicheskoye modelirovaniye rynka programmnogo obespecheniya = Mathematical modeling of the software market. Abstract diss. Dr. Ekon. Sci. Moscow: CEMI RAS; 2011. (In Russ.)
26. Solov’yov V.I. Analiz dannykh v ekonomike = Data analysis in economics. Moscow: Financial University under the Government of the Russian Federation; 2019. (In Russ.)
27. Solov’yov V.I. Sistemy iskusstvennogo intellekta = Artificial intelligence systems. Moscow: Financial University under the Government of the Russian Federation; 2020. (In Russ.)
28. Solov’yov V.I. Optimizatsionnyye zadachi v mashinnom obuchenii = Optimization problems in machine learning. Moscow: Financial University under the Government of the Russian Federation; 2021. (In Russ.)
29. Solov’yov V.I. Komp’yuternoye zreniye = Computer vision. Moscow: Financial University under the Government of the Russian Federation. (In Russ.)
30.
Review
For citations:
Olimov N.A. Use of Artificial Intelligence in the Digital Economy. Open Education. 2025;29(2):46-54. (In Russ.) https://doi.org/10.21686/1818-4243-2025-2-46-54
Views:
131
Email this article 