Skip to main navigation menu Skip to main content Skip to site footer

FOREIGN EXPERIENCES OF USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN SMALL BUSINESS AND POSSIBILITIES OF APPLICATION IN UZBEKISTAN

Affiliation
Independent researcher of Bukhara State University

Abstract

This article analyzes the foreign experience of applying artificial intelligence (AI) technologies in small businesses and explores opportunities for their implementation in Uzbekistan . The study examines best practices from the USA, Germany , South Korea , India , Israel , and other countries , highlighting possible ways of adapting them to local conditions . The paper systematically identifies key challenges in introducing AI into Uzbekistanʼs small business sector , including infrastructure limitations , shortage of skilled professionals , financial constraints , and market differences . Finally , a roadmap and policy recommendations are proposed for the effective integration of AI in small business development . 91

Keywords

artificial intelligence, small business, digital transformation, foreign experience, innovative development, adaptation, localization


References

  1. Oʻzbekiston Respublikasi Prezidentining 2024 -yil 14 -oktyabrdagi PQ -358-son “Sunʼiy intellekt texnologiyalarini 2030 -yilga qadar rivojlantirish strategiyasini tasdiqlash toʻgʻrisida” gi Qarori. https://www.lex.uz/docs/ -7158604 .
  2. Anirudh Koul, Siddha Ganju, Meher Kasam. Practical Deep Learning for Cloud, Mobile, and Edge. OʻReilly Media 2020. P.400
  3. Ankur Patel. Hands -On Machine Learning for Small Business Owners. OʻReilly Media2022. P.310
  4. Clawson T. Artificial Intelligence for Small Business: Harness the Power of Machine Learning and Data. Kogan Page.2020. P224.
  5. Chollet F. (2021). Deep Learning with Python (2 -nashr). Manning Publications. 504 bet.
  6. Daniel R. Whiteson. Machine Learning for Small Business: Practical AI Applications. Routledge 2021. P.268.
  7. Das S. (2020). Deep Learning for Business Analytics. Wiley. 352 bet.
  8. Jurafsky D., James H. Martin. Speech and Language Processing (3rd Edition – Draft). Pearson Education 2023.
  9. Jason D. Brownlee. Natural Language Processing for Business. Machine Learning Mastery2020. P.261.
  10. Koul A., Ganju S., & Kasam, M. (2020). Practical Deep Learning for Cloud, Mobile, and Edge. OʻReilly Media. 400 bet.
  11. Lewis N. D. Deep Learning for Business with Python. CreateSpace Independent Publishing 2017. P.366.
  12. Lewis Tunstall, Leandro von Werra, Thomas Wolf. Natural Language Processing with Transformers. OʻReilly Media2022. P.374.
  13. Mitchell, T. R. (2021). AI and Deep Learning for SMBs. Springer Briefs in Business Technology. 182 bet.
  14. Michael C. Darden. AI -Powered Commerce: How Machine Learning Reshapes Small Retail. Springer 2023.P.289.
  15. Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Practical Natural Language Processing: A Comprehensive Guide to Building Real -World NLP Systems. OʻReilly Media 2020. P.456.
  16. Thomas H. Davenport. The AI Advantage: Machine Learning Applications for Entrepreneurs. MIT Press. 2019. P.256.
  17. Statista, 2024; U.S. Small Business Administration (SBA), 2023.
  18. Statistics Canada (Canadian Survey on Business Conditions, 2025, Table 33 10 1004 01, p. 45
  19. Business Data Lab (2024, Statistics Canada survey, p. 12).
  20. ZEW Mannheim/Texniko Bundesministerium (2024, “Use of AI in Companies in Germany”, p. 8.
  21. Unlocking Europeʼs AI Potential (2025, p. 15):

Downloads

Download data is not yet available.