02 Sep 2026
Mining and Metals
Why data quality is the real AI challenge in the mining industry
Insights
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Artificial intelligence (AI) is playing an increasingly important role in the mining industry. Predictive maintenance for critical equipment, energy optimization, improved metallurgical recovery, asset monitoring and process anomaly detection are just a few of the many applications with significant potential benefits.However, when an AI project fails to deliver the expected results, the problem rarely lies with the algorithms themselves.In our experience, the main obstacles are usually related to data quality, availability and structure. Even the most sophisticated models cannot produce reliable recommendations if the data they rely on is incomplete, inconsistent or difficult to use.Before we talk about artificial intelligence, we first need to talk about data.
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09 Jan 2015Mining and MetalsTonnage control under maximum and instantaneous power constraints
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Serge Naud, P.Eng.
Engineer, Process Control
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09 May 2014Mining and MetalsPotential economic and operational benefits and impacts of trolley assist in open pit mining
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Isabelle Leblanc, P.Eng.
Vice-President, Mining and Metals Market
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