К содержанию
РецензированоEN2025

Big Data and Articial Intelligence Technologies in Raw Materials and Energy Sectors

Matyokub Bakoev · Khurshijon Kurbonov

Современная наука и исследования · 2025

Аннотация

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.

Доказательный фрагмент

«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 transform…»

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Демо-превью

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 transform… Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Тип
Журнал
Страна
Узбекистан
Ключевые слова
Big Data, Articial Intelligence, Raw Materials, Energy Sectors, Eciency, Digital Transformation, Environmental Impact, Quarry Transport Systems, AnyLogic.
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