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With mining machinery becoming increasingly advanced, the mining industry can benefit greatly from the use of sophisticated AI technology in terms of both operational performance and cost reduction. Here are 3 ways you can use AI to increase the adoption of sustainable mining operations for operational efficiency and reduced costs

Since mining data is so complicated and varied, companies need to have an AI strategy to handle it. But before you set off on your AI journey, ask yourself the following 5 questions to ensure that your mining operations are AI-ready.

Greater digitization and automation of mining operations will allow companies to overcome many challenges. Here are 3 benefits to digitizing your mining operations

AI enables users to accomplish milestones previously considered unreachable while reducing costs where it was simply not possible before, like water and wastewater treatment. One industry where this is increasingly evident is mining. Here are 4 key components of this intelligent and efficient water usage in mining

This article is intended to show the capabilities of the new MSQ module focusing on the specific issue of modelling chlorine decay, starting from a brief description of the phenomena and then comparing the former “Basic” approach of a single-constituent decay versus more advanced methodologies provided by the new MSQ module.

Modern mines have not only made the job easier for human workers, but they are also enabling new efficiencies in many different mining operations. One example of this is the efficient use of water enabled by artificial intelligence (AI) industry. Here are 3 ways AI is shaping water use in the mining industry.