20 Oct Foundations of AI: A Framework for AI in Mining published
GMG has published Foundations of AI: A Framework for AI in Mining – a white paper that offers an overview of the process of planning for and implementing artificial intelligence (AI) solutions for mining companies.
AI-based innovation is being used increasingly in the mining industry as a means to improve processes and decision-making, derive value from data and increase safety, but the levels of operational maturity are variable across the industry. Though many mining stakeholders are adopting AI, there is still uncertainty about the technology and how it can be harnessed in the mining industry.
This white paper – developed collaboratively through workshops, conference calls and online collaboration tools – addresses a variety of concerns, such as the challenge of establishing data infrastructure, apprehensions about the effect on the workforce and worries about failure after investing substantial time and funds into an AI project. It offers a realistic strategy for building a foundation for planning, implementing and moving forward with AI.
The primary audience is those in charge of introducing or expanding the use of AI in mining companies. Rob Johnston, Project Manager at CITIC Pacific Mining and GMG AI Project Leader, says, “There has been a recent explosion in the application of AI in industry, and this document aims to assist mining companies to fully embrace this exciting technology and drive business value.”
Having this information available will also help cut through the hype that surrounds AI. “Although mining stakeholders generally recognize the value of understanding the technology, many are intimidated by the concept and see expertise in AI as a very specialized knowledge set, so this will help them start off on the right foot,” says Andrew Scott, GMG Vice-Chair Working Groups and Principal Innovator at Symbiotic Innovations.
This document will also be useful for those who are part of the ecosystem that surrounds mining companies, which comprises those who will assist in applying the technology, culture and safety considerations and regulatory frameworks that are necessary for a successful AI strategy. Speaking from his perspective as a solution provider, Kevin Urbanski, CTO at Rithmik Solutions, says the white paper will provide “current and future customers with a macro view of artificial intelligence and related solutions,” while helping mining operations to “identify opportunities to apply these powerful algorithms within their organizations.”
“Mining companies know best what their needs are, and this document will help them match those needs with what’s possible.” Urbanski adds that the document will also help to standardize communications around the technology, saying it will “provide great level-setting, ensuring that we and our customers are speaking the same language when talking about AI.”
Johnston says that while this publication is an important step, the document will be reviewed and updated as needed: “The field of AI moves so fast that this will be a document that will be updated regularly in order to remain relevant to the industry.”
About Global Mining Guidelines Group
The Global Mining Guidelines Group (GMG) is a network of like-minded companies driving change in the mining industry. Together, we monitor the pulse of the industry and develop multi-disciplinary guidelines and strategies to manage risk, enhance performance, design solutions, inform planning and decision making, and save time and money. Our members are mining companies, original equipment manufacturers (OEMs), original technology manufacturers (OTMs), research organizations and consultants from around the world who recognize that innovation does not happen in silos. GMG improves communication and facilitates collaboration to foster a more sustainable and efficient future for mining. Our multi-stakeholder working groups address topics such as interoperability, data access and usage, artificial intelligence, autonomous equipment, underground communication, battery-electric equipment and comminution efficiency in mining.