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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12 Nov 2019Power and RenewablesHigh-voltage transmission power lines (69 kV and up) are designed to meet numerous performance criteria that, when combined with construction restrictions in the right-of-way, help keep people safe. However, developers of major infrastructure assets, such as pipelines, railways and telecommunications systems, have come under increasing pressure in recent years to use available rights of way. For example, there’s interest in reducing environmental impacts by using available corridors, even though transmission lines already run through them.Metal structures near high-voltage power lines: What are the risks?-
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François St-Germain, P.Eng.
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Léo Roy, P.Eng.
Senior Engineer, Electrical
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Amanda Fitch, P.Eng.
Director, Mining and Metals
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Marc-André Perron, P.Eng.
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01 Oct 2019Power and RenewablesHydro generators: introduction to stator windings
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François St-Germain, P.Eng.
Principal Engineer, Industrial and Hydro
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Senior Engineer, Automation
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16 Sep 2019Power and RenewablesIf you type “alarm management” in a search engine, you will get hundreds of results including articles, papers, presentations and guides. Those results may contain some useful information, but in many cases, they deal with the complete process of alarm rationalization. The problem is that not everyone will dedicate the time and resources needed to implement an exhaustive alarm rationalization process that includes a comprehensive audit and the development of an alarm management philosophy document. This blog presents an easy and concrete method for quickly reducing the number of alarms received.Alarm rationalization: a guide for quick wins!
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Maxym Lachance, P.Eng.
Senior Engineer, Process Control and Operational Technology
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Jean-Philippe Castonguay, P.Eng.
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Vincent Clément, P.Biol., RP.Bio., QAES
Senior Environmental Professional
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Expert, Process Control
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Roman Dorfman, P.Eng.
Principal Engineer, Piping
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Vincent Clément, P.Biol., RP.Bio., QAES
Senior Environmental Professional
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Joe Nava, P.Eng.
Global Director, Advanced Fuels and Chemicals
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Marc-André Perron, P.Eng.
Director, Management - Digital Power Systems
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Éric Breault, P.Eng.
Senior Engineer, Electrical - Power Systems, Protection and Control
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Bertrand Comeau, P.Eng.
Principal Engineer, Structural
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Mario Côté, P.Eng.
Senior Engineer, Automation
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Joel Sourceaux, P.Eng.
Principal Engineer, Electrical - Power Systems, Protection and Control
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