Mining, here Geo-Mining, not cryptocurrency or Data-Mining. A complex, sensor based problem with considerable cost and potential reward, would seem to have real application of AI-style analytics. But it seems not much has been applied to it. Why? Useful summery of challenges and also current companies involved.
Mining and AI. in The Wall Street Journal By Alistair MacDonald; Rhiannon Hoyle
Despite expectations by the mining industry that artificial intelligence (AI) would transform operations, some experts consider that promise overhyped and unrealistic. Companies like Barrick Gold and Rio Tinto are running AI-led projects, but widescale deployment faces obstacles including little executive engagement, more appealing alternative modernization options, and longer-than-anticipated project timeframes. AI's potential benefits to mining include sensor-based data collection to predict breakdowns or improve operational efficiency, and geological data-filtering to locate likely ore deposits. Other challenges to implementing AI-driven changes to the industry include the high cost of the technology, mining's lack of appeal as a career choice for AI experts who are sorely in demand, and dissatisfaction with making only incremental gains with AI at this point. ... "
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