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

DIGITAL REVOLUTION IN THE INSURANCE SECTOR: INTEGRATION OF ARTIFICIAL INTELLIGENCE IN UZBEKISTAN AND STRATEGIC ACHIEVEMENTS AND RISKS IN GLOBAL MARKETS

Abstract

This article analyzes the current state of digital transformation in Uzbekistan's insurance market, the economic efficiency of integrating artificial intelligence (AI), and its impact on global market strategic competition. The study is based on a mixed methodological approach, including national and international experiences, company examples, and expert opinions. The results show that the gradual implementation of AI technologies improves service quality, reduces fraud cases, and optimizes costs. However, AI can exacerbate issues such as digital inequality, data security, and labor market challenges. The study offers practical recommendations for transforming Uzbekistan's insurance system based on AI and can serve as a foundation for developing digital strategies.

Keywords

Artificial Intelligence, Digital Transformation, Insurance Market, Uzbekistan, Risks, Digital Economy.

DOWNLOAD PDF

References

  1. Smith, J. (2023). Artificial Intelligence in Insurance: A Global Perspective. Journal of Financial Technology, 12(3), 45-59.
  2. Andreeva, N., & Fisher, K. (2022). Digital Transformation in Insurance Markets: Challenges and Opportunities. Journal of Insurance Research, 9(1), 25-40.
  3. Ministry of Finance of the Republic of Uzbekistan. (2023). Digital Financial Transformation Strategy: Pilot Projects in Insurance Sector. Tashkent.
  4. Kumar, R., & Sharma, S. (2021). The Role of AI in Insurance Fraud Detection and Risk Management. Insurance Journal of Technology, 18(4), 105-118.
  5. Brown, A., & Green, D. (2022). Cybersecurity Challenges in the Digital Transformation of the Insurance Industry. Journal of Cybersecurity, 30(5), 233-248.
  6. World Economic Forum. (2023). Global Insurance Industry Trends in the Age of AI. Geneva: WEF.
  7. Shamsie, S., & Khan, S. (2021). Regulatory Framework for AI in Insurance: A Comparative Study. International Journal of Business Law, 14(2), 111-125.

Downloads

Download data is not yet available.