“ The starting point of any organisational strategy should never be the technology . Instead , it has to begin with identifying the business problems , corporate objectives , and strategic goals .”
AI IN MINING
BILL SCUDDER , GM OF AIOT SOLUTIONS , ASPEN TECHNOLOGY Mining is a highly disruptive activity , operating in hostile environments , which requires significant investment and precise drilling to achieve ROI .
Cognilytica analysts Kathleen Walch and Ronald Schmelzer , discussing the merits of AI in a podcast , said AI can help at the outset by separating valuable minerals from debris , saving time and money .
“ One area where AI is already being used is in gold – it helps improve data targeting for new deposits , analyse previous data collected , and improve geologists ’ planning skills and capture new information from existing data ,” said Walch .
AI Today Podcast # 80 : AI in Mining -- Use Case Series | Cognilytica
Schmelzer said related to AI is the growth in digital mining , instrumenting mining equipment with IoT and devices . Autonomous devices can make 24 / 7 inspections and raise site safety . “ We see the use of AI systems helping to make mines safer , in the way inspections are happening . They can provide more frequent inspections and save a lot of time in the inspection process .”
Walch said while we can ’ t “ sugar coat ” the environmental damage that mining occurs , cognitive technologies can help reduce the impact and focus minds on future land use strategies . On a day-to-day , AI computer vision solutions can spot discrepancies in real time , avoiding serious environmental or operational issues .
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