Artificial intelligence as a driver of economic development for mining companies in modern conditions
Abstract
The purpose of this study is to explore the potential of using Artificial Intelligence (AI) in the production processes of mining enterprises, identify the challenges and limitations that arise, and assess the opportunities for overcoming them. The article examines the benefits of implementing AI in mining operations, which include enhanced efficiency, process optimization, improved product quality and others. AI technologies enable real-time monitoring of complex technical systems, prediction of potential emergencies and the optimization of energy consumption, leading to a significant reduction in the prime cost of the final products. Automation of hazardous tasks contributes to a radical improvement in industrial safety, safeguarding the lives and health of employees in extreme mining conditions. The author has identified the following key problems and challenges in the widespread application of AI: a shortage of specialists; high costs (of technical solutions and staff training); data constraints (a lack of labelled industrial data and fragmentation of IT systems); opposition from the workforce; and information security (restrictions on data storage and processing due to the risks of cyber-attacks and competitive intelligence). Based on the author’s analysis, a concluded is made that the use of AI is a key tool for improving the efficiency of the mining industry and in the coming years AI will become an integral part of the end-to-end digital ecosystems of mining companies.