Big Data and Artificial Intelligence Technologies in Raw Materials and Energy Sectors
Year: 2025
Type: conference-paper
Abstract: This article examines the transformative role of big data and artificial intelligence (AI) in the raw materials and energy sectors, focusing on three key areas: enhancing enterprise efficiency, 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 specific 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.
Authors: Bakoev Matyokub Teshayevich, Kurbonov Khurshijon Isokul ugli
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949591655
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