Abstract
As the volume of data collection rapidly increase in mineral exploration campaigns, mines, and near-mine environments, data processing methods must become more sophisticated to efficiently deal with this data deluge. Artificial intelligence workflows and machine-assisted modelling will become routine parts of the mining value chain; integrating traditional geoscience knowledge with data science expertise will be critical to successful algorithm deployment.
The objective of the keynote is to demonstrate that adding artificial intelligence (A.I.) tools to the geoscience toolbox can improve success in mining. The keynote will cover the best practices in mining exploration applied A.I. in the domain of geochemistry, remote sensing and geophysics for mineral prospectivity purposes.