Contrary to the stereotypical image of a traditional mine characterised by a large workforce and slow-moving processes , modern mines are quickly becoming complex , machineintensive environments that centre their operations around heavy equipment and computer-driven technology .

Driving much of the changes are rapid advances in analytics and AI tools , which are improving planning and operational efficiencies , mine safety and workflow productivity as well as stimulating the integrated supply chain and predicting future outcomes .

For example , by using smart data and machine learning , a single operator can now remotely control several drill rigs simultaneously , with autonomous vehicles taking over pit-to-pit operations . AI can also be used to identify new and potentially valuable areas to mine . By using pattern matching and predictive analysis , AI programmes can analyse significant quantities of geological data and identify where to find resources .

Another major benefit of AI ’ s use in mining operations is minimizing the ecological impact of mining operations and lowering the environmental footprint . Mining sites can be easily monitored and environmental parameters such as temperature and groundwater tracked to assess the impact of mining operations .

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Mining Digital March 2021 | Page 29

Artificial intelligence is no longer in the realms of sci-fi but an invaluable technology tool for mining companies

Contrary to the stereotypical image of a traditional mine characterised by a large workforce and slow-moving processes , modern mines are quickly becoming complex , machineintensive environments that centre their operations around heavy equipment and computer-driven technology .