Interpreting data to provide insight on where to drill next is very complex. Data sets are vast and include field mapping data, geochemical surveys, drill hole data, geophysical surveys, geological maps, Landsat imagery, aerial photographs, mine-level plans, alteration models, resource model data and reports, etc.
Goals and Objectives
To focus exploration activities on increasing ROI through the processing and integration of data sets across geological, geothermal, geospatial, and mapping data. To improve the chance of identifying mineable ore.
Analytics, cognitive/AI, high-powered computing, cloud, mobility
Use Case Summary
Increase the ROI of exploration through improved decision making enabled by access to insights embedded within huge data sets.