A few years ago, it would have been unthinkable to regard complex algorithms and analytics (in general) as the fundamental pillar of digital transformation in mining companies. Today, however, there are multiple opportunities for high-impact applications in different sectors, including mining operations, thanks to the availability of a massive amount of data generated along the mining industry’s value chain, storage capacities, the new analysis possibilities, and data processing through more powerful and complex algorithms. Advanced analytics use has only been able to capture a small part of the forecasted potential, which means that there are still plenty of opportunities to deploy analytics in the mining industry.
“Analytics” applications are generally divided into three groups: descriptive, predictive, and prescriptive analytics. The optimization should also be included in the analytics applications to make a sustainable and applicable solution for the industries. These applications can take different use cases depending on each stage of the mining industry value chain.
This presentation will explain some technical details of advanced analytics projects in the mining industry to clarify the opportunities and challenges in mining companies’ digital transformation programs.
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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.
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