Big Data and Articial Intelligence Technologies in Raw Materials and Energy Sectors
This article examines the transformative role of big data and artifcial intelligence (AI) in the raw materials and energy sectors, focusing on three key areas: enhancing enterprise effciency, 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.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-25
- DOI
- https://doi.org/10.5281/zenodo.15510372
- Primary Topic
- Mining Techniques and Economics
- Type
- article
- Field-Weighted Citation Impact
- 0.00