EVOLUTION AND PROSPECTS OF ARTIFICIAL INTELLIGENCE IN DIGITAL TRANSFORMATION

Авторы

  • Jumaev Giyosjon Tashkent University of Applied Sciences, Senior Teacher, Department of Computer Engineering Автор
  • Majidova Yulduz Tashkent University of Applied Sciences, Teacher, Department of Computer Engineering Автор
  • Mamatqulov Mavlon Tashkent University of Applied Sciences Teacher Автор
  • Maxamadiyev Mexroj Tashkent University of Applied Sciences, Teacher, Department of Computer Engineering Автор

DOI:

https://doi.org/10.65164/bw1kg823

Ключевые слова:

artificial intelligence, digital transformation, generative AI, machine learning, Industry 4.0, AI market growth, autonomous agents, EU AI Act, enterprise adoption

Аннотация

Artificial intelligence (AI) has emerged as the defining technological force of the 21st century, fundamentally reshaping organizational processes, economic structures, and societal systems through digital transformation. This paper presents a comprehensive, data-driven analysis of AI's evolutionary trajectory — from early rule-based expert systems and statistical machine learning to contemporary generative AI and autonomous agents — and its measurable impact across key industrial sectors.

 

Future prospects examined include: autonomous AI agents capable of independent planning and execution; quantum-AI convergence; edge intelligence enabled by 5G and sub-5ms latency inference; and the EU AI Act (2024) and ISO/IEC 42001:2023 as foundational governance frameworks for sustainable digital transformation. The paper contributes three original data visualizations, two structured comparative tables, and a sector-by-sector performance benchmark grounded in cited primary sources. 

Библиографические ссылки

123

Опубликован

2026-05-15