Foundations for AI in Mining

The Foundations for AI in Mining project will provide a unified understanding of the basics of AI in mining that cuts through the hype, clarifies what methods are useful and identifies how they can be applied.

Objective

Articulate a clear and unified understanding and framework of what artificial intelligence (AI) is and how it can benefit the mining industry.

Description

The output will be a report to assist mining companies with successfully implementing AI techniques within their business. This includes:

• Discussion of the terminology surrounding AI
• The high-level steps needed to introduce AI into an organization
• A maturity model to enable companies to plan their AI strategy
• Common case studies and use cases that highlight the variety of processes that can be transformed using AI enabled technologies

Business Case

AI has quickly become recognized as an opportunity to harness new technology for operational efficiency, but there is still general confusion about what it is, and there are many questions about its applications in mining.

Media announcements about new uses of AI often create hype around spectacular features but rarely describe the basics. Resources covering these basics are therefore needed to cut through the hype and clarify what methods are useful, and for what circumstances they can be applied.

If you would like to participate in this project, please contact Program Manager, David Sanguinetti dsanguinetti@gmggroup.org

Participating Companies

AgileGeoScience, Alex Atkins & Associates, Ambuja Cements, Barrick Gold, BHP, Boliden, Canvass, Caterpillar, CITIC Pacific Mining, CSIRO, Curtin University, Deloitte, Department of Mines, Industry Regulation and Safety (DMIRS), ESG Solutions, Flinders University, Geological Survey of South Australia, IBM, ISCTE – Lisbon University Institute, JVA, Larrain & Asociados, Larrain y Salas, LKAB, Luleå University of Technology, Ma’aden, Minetec, Natural Resources Canada / Government of Canada, Newcrest, Newmont, Newtrax, Nutrien, Odgers Berndtson, Optika Solutions, Organum Technology, OZ Minerals, Paradyn Systems, PETRA Data Science, Resolution Systems, Rio Tinto, Rock Tech Centre, Rockwell Automation, Roy Hill, Schneider Electric, Seequent, Seyo, Siemens, Sinese, Stantec, Symbiotic Innovations, Symboticware, Teck, Unearthed Solutions, University of Adelaide, University of South Africa, Vale, Zettascale Data Consulting