Authors

  • Matyokub Bakoev
  • Khurshijon Kurbonov

DOI:

https://doi.org/10.71337/inlibrary.uz.science-research.102313

Keywords:

Big Data Articial Intelligence Raw Materials Energy Sectors Eciency Digital Transformation Environmental Impact Quarry Transport Systems AnyLogic.

Abstract

This article examines the transformative role of big data and articial intelligence (AI) in the raw materials and energy sectors, focusing on three key areas: enhancing enterprise eciency, driving digital transformation in markets, and reducing environmental impact. Through case studies from industry leaders like Aramco, GE Vernova, and ADNOC, the article highlights practical applications of AI and big data. Additionally, it presents a project on optimizing quarry transport systems using AnyLogic as a specic example of AI's application in the raw materials sector. The article underscores the potential of these technologies to address operational challenges, promote sustainability, and support economic growth while emphasizing the need for continued innovation and collaboration.