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AI and digital twins drive predictive operations in mining industry

5d ago· 5 min readenInsight

Summary

The mining industry is rapidly embracing AI and digital twin technologies, shifting from viewing digital tools as optional extras to essential investments. Advanced analytics enables a move from reactive to predictive operations, helping mining companies navigate volatile commodity markets, tightening environmental regulations, and safety expectations. The article, authored by Johan Potgieter (cluster industrial software lead at Schneider Electric), argues that the business case for digitalisation has become impossible to ignore as mining operations face increasing pressure on multiple fronts.

Key quotes

· 4 pulled
There was a time when conversations about AI in mining felt more suited to technology conferences than mine sites.
Digital tools were often viewed as optional extras, investments to consider only after operational basics had been addressed.
The business case for digitalisation has become impossible to ignore.
Advanced analytics allows the move from reactive to predictive operations.
Snippet from the RSS feed
Advanced analytics allows the move from reactive to predictive operations, writes JOHAN POTGIETER, cluster industrial software lead at Schneider Electric.

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