02 Sep 2026
Mining and Metals
Why data quality is the real AI challenge in the mining industry
Insights
-
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.
-
07 Jul 2020Power and RenewablesProblems with power quality at electrical installations
-
-
30 Jun 2020Mining and MetalsSuccesfully completing your artificial intelligence project in the mining sector
-
Arbi Bouchoucha, Ph. D.
Advanced Data Analyst
-
-
25 May 2020Power and RenewablesGet more from the grid
-
21 May 2020Power and RenewablesMotion amplification: a new tool for vibration diagnosis
-
20 May 2020Other industriesAccording to the NFPA-820 2020 standard [1], most pumping stations, spaces and buildings that make up a wastewater treatment plant must be considered hazardous locations.Electrical classification of hazardous locations: wastewater treatment plants -
-
14 May 2020Power and RenewablesOperating remotely: using cameras as sensors (CAMAAS)
-
Serge Benoit, P.Eng.
Principal Advisor, Automation
-
-
12 May 2020Power and RenewablesAre your lifting devices safe?
-
Jonathan Hamel, P.Eng.
Senior Engineer, Structural
-
-
12 May 2020Other industriesVentilation of isolation rooms
-
Hugues Châteauneuf, P.Eng.
Senior Consulting Expert, Ventilation, Hazardous Locations, Explosion Hazards
-
-
06 May 2020Power and RenewablesSecure remote access to production networks: the advantages of VDI technology
-
Michaël Racine
Telecommunications and Networking Analyst
-
-
04 May 2020Power and RenewablesOne of the major challenges associated with remote sites is the difficulty of ensuring qualified personnel are present to ensure optimal operation. Lack of strong technical leadership can compromise operational performance. This deficiency could have greater consequences during commissioning. As such, it may appear worthwhile to use specialized data analysis software that automates performance monitoring and problem detection.Operating remotely: intelligent distributed optimization (IdO) to get the most from your technological tools
-
-
04 May 2020Mining and MetalsSlurry pump design: what you need to know
-
Roman Dorfman, P.Eng.
Principal Engineer, Piping
-
-
30 Apr 2020Power and RenewablesCivil or structural engineering?
-
-
27 Apr 2020Power and RenewablesHazardous locations: the game rules – Part 2
-
Hugues Châteauneuf, P.Eng.
Senior Consulting Expert, Ventilation, Hazardous Locations, Explosion Hazards
-
-
16 Apr 2020Mining and MetalsPassive water treatment in the mining sector
-
Jean-Louis Bandu, P.Eng., M.Env., M.P.M., P.M.P.
Senior Engineer, Earth and Infrastructure
-
-
14 Apr 2020Power and RenewablesThe COVID-19 crisis has highlighted a major issue for industrial companies: operating their electrical network remotely is no longer an option, but a necessity. Indeed, these companies must ensure the continuity of their operations at all times, even when access restrictions are imposed or the availability of workers is reduced. Today, all companies face the scarcity of specialized technical labour and the need to rely on cutting-edge expertise, more specifically during crises such as COVID-19. However, not having the means required to operate electrical networks remotely jeopardizes the sustainability of facilities owned by many companies and their ability to produce and deliver under any circumstances. To meet these challenges, investments must be properly planned to quickly and successfully implement systems required to efficiently and safely operate your electrical network remotely.Operating industrial electrical networks remotely
-
-
07 Apr 2020Power and RenewablesThe key elements to field testing power transformers
-
Gregory Sines, P.Eng.
Electrical Engineer
-
-
01 Apr 2020Power and RenewablesOperating remote assets
-
Jean-François Beaulieu
Director, Digital Consultant
-
-
05 Mar 2020Other industriesHazardous locations: the game rules – Part 1
-
Hugues Châteauneuf, P.Eng.
Senior Consulting Expert, Ventilation, Hazardous Locations, Explosion Hazards
-
-
21 Feb 2020Power and RenewablesBeyond IT. Think industrial cybersecurity.
-
Marc Potvin, P.Eng.
Senior Engineer, ICS Cybersecurity
-
-
13 Feb 2020Mining and MetalsSlurry flow is a common means of transporting solid particles in the mining and mineral processing industry. Depending on the slurry mixture, the flow can be very erosive and, at times, maintaining the piping system can be quite challenging. On the other hand, due to the complexity of flow characteristics, it is very difficult to accurately predict slurry flow performance and its erosion rate by only using manual calculation or imperial methods.Slurry flow simulation with 3D computational fluid dynamics (CFD)
-
10 Feb 2020Power and RenewablesThe PRC-005-6 and TET-APE-N-0005 standards in Québec: Are you ready?
-
Dominic Dubreuil, P.Eng.
Electrical Engineer
-
-
06 Feb 2020Power and RenewablesGetting started with an ICS cybersecurity program
-
Pierre Janse Van Rensburg, GCIH
Senior Consulting Expert, ICS Cybersecurity
-
-
05 Feb 2020Power and RenewablesAuthenticating 3D models by professional engineers: moving away from 2D drawings
-
-
27 Jan 2020Energy and chemical processesImproved methodology for liquid/liquid separation design
-
27 Jan 2020Power and RenewablesToday, data is at the core of modern businesses. Knowing how to use and understand your data will give you a competitive edge and allow you to keep up with today’s fast-paced marketplace. Advanced data analysis (ADA) will help you achieve these goals. This branch of data science spans many disciplines, like computer science, which includes programming, mathematics, statistics and logical reasoning. It consists of collecting, cleaning and arranging raw big-data (unstructured, structured and semi-structured) so new knowledge can be extracted from it. This knowledge will be used to improve decision-making and optimize business performance by increasing efficiency and reducing production losses, among other options. Data science experts carry out these tasks. They use several tools to (1) manipulate data, (2) use or build algorithms to solve complex problems that standard systems cannot solve and (3) generate results (statistics, visualizations) that users can interpret to draw conclusions.Advanced data analysis: What is it and what is it used for?
-
Arbi Bouchoucha, Ph. D.
Advanced Data Analyst
-
-
18 Dec 2019Mining and MetalsTailings disposal: choosing the right technology
-
Guylaine St-Jean, P.Eng.
Senior Engineer, Industrial and Hydro
-
-
11 Dec 2019Power and RenewablesAre you PRC-005-6 compliant ready?
-
04 Dec 2019Power and RenewablesIs SD-WAN for everyone? Almost!
-
Daniel Leblanc
Telecommunications and Networking Analyst
-
-
27 Nov 2019Mining and MetalsHow to properly prepare your data for a mineral resource estimate?
-
21 Nov 2019Power and RenewablesRegardless of the industry you are in, if you have been associated with a development or expansion project, you have likely been involved in some type of environmental assessment.Effective mitigation measures for environmental impacts
