STATISTIK HISOBOTLARNI QABUL QILISH JARAYONLARINI AVTOMATLASHTIRISHDA SUN'IY INTELLEKTDAN FOYDALANISH
Authors/Creators
- 1. Qarshi davlat texnika universiteti oliy matematika kafedrasi katta o'qituvchisi
- 2. Kadrlar malakasini oshirish va statistik tadqiqotlar institute mustaqil izlanuvchisi
Description
Mazkur maqolada statistik hisobotlarni avtomatlashtirishda sun'iy
intellekt texnologiyalaridan foydalanishning afzalliklari, imkoniyatlari va mavjud
muammolar tahlil qilinadi. Sun'iy intellekt yordamida hisobot tayyorlash
jarayonlarining samaradorligi, vaqtni tejash va xatoliklarni kamaytirish kabi asosiy
jihatlari o‘rganiladi. Shuningdek, O‘zbekistonda va dunyoning boshqa rivojlangan
mamlakatlarida sun'iy intellekt texnologiyalarining qo‘llanilishi va bu sohadagi
mavjud qiyinchiliklar ham muhokama qilinadi. Maqola davomida sun'iy intellektni
joriy etishda yuzaga keladigan axborot xavfsizligi, kadrlar tayyorlash, texnik
infratuzilma, etik va qonuniy muammolar keltirilgan. Ushbu tadqiqot texnologiyaning
rivojlanishi uchun strategik tavsiyalarni ham taqdim etadi.
Abstract (Russian)
В данной статье рассматриваются преимущества,
возможности и существующие проблемы использования технологий
искусственного интеллекта (ИИ) для автоматизации процесса составления
статистических отчетов. Изучаются такие ключевые аспекты, как повышение
эффективности, экономия времени и снижение ошибок при подготовке отчетов
с использованием ИИ. Также рассматривается использование технологий ИИ в
Узбекистане и других развитых странах, а также текущие сложности в этой
области. В статье рассматриваются проблемы информационной безопасности,
подготовки кадров, технической инфраструктуры, а также этические и
юридические вопросы при внедрении ИИ. Исследование также предлагает
стратегические рекомендации для дальнейшего развития технологий.
Abstract (English)
This article analyzes the advantages, opportunities, and existing
challenges in the use of artificial intelligence (AI) technologies for automating the
process of statistical report generation. It explores key aspects such as efficiency
improvement, time-saving, and error reduction in report preparation using AI. The
article also discusses the application of AI technologies in Uzbekistan and other
developed countries, along with the current challenges in this field. Issues such as information security, workforce training, technical infrastructure, and ethical and legal
concerns in the implementation of AI are discussed. The research also provides
strategic recommendations for the further development of these technologies.
Files
129. Xolbekov Sh.O., Ochilov Sh. Sh - STATISTIK HISOBOTLARNI QABUL QILISH JARAYONLARINI AVTOMATLASHTIRISHDA SUNʼIY INTELLEKTDAN FOYDALANISH.pdf
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Additional details
Additional titles
- Alternative title (Russian)
- ИСПОЛЬЗОВАНИЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА ДЛЯ АВТОМАТИЗАЦИИ ПРОЦЕССОВ ПОЛУЧЕНИЯ СТАТИСТИЧЕСКОЙ ОТЧЕТНОСТИ
- Alternative title (English)
- USING ARTIFICIAL INTELLIGENCE IN AUTOMATING THE PROCESSES OF RECEIVING STATISTICAL REPORTS
Software
- Repository URL
- https://infocom.uz/magazine/19
- Development Status
- Active
References
- 1. The state of AI: How organizations are rewiring to capture value / https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai 2. The 2025 AI Index Export / https://hai.stanford.edu/ai-index/2025-ai-index report 3. Acosta, J. N., et al. (2024). The Impact of AI Assistance on Radiology Reporting: A Pilot Study Using Simulated AI Draft Reports. 2024, p. 12 4. Giudici, P., et al. (2024). Explainable machine learning in credit risk management. Computational Economics, https://doi.org/10.1007/s10614-020-10111-3. 2024, p. 8.
- 5. Li, L., et al. (2025). Transforming Evidence Synthesis: A Systematic Review of the Evolution of Automated Meta-Analysis in the Age of AI. 2025, p. 21. 6. Glickman, M., & Zhang, Y. (2024). AI and Generative AI for Research Discovery and Summarization. 2024, p. 15. 7. Torre-López, J. de la, et al. (2024). Artificial intelligence to automate the systematic review of scientific literature. 2024, p. 19. 8. Acemoglu, D., et al. (2022). Advanced technology use and automation: Results from recent research. U.S. Census Bureau. 2022, p. 33. 9. McKinsey & Company. (2023). The state of AI in 2023: Generative AI's breakout year. McKinsey. https://www.mckinsey.com/capabilities/quantumblack/our insights/the-state-of-ai-in-2023-generative-ais-breakout-year 10. https://dig.watch/resource/digital-economy-of-uzbekistan-the-state-of digital-entrepreneurship-and-artificial-intelligence 11. Vention Teams. (2024). AI adoption statistics. Vention Teams. 12. Muallif ishlanmasi.