Applications of AI in Mining

This recently launched project aims to leverage lessons learned from existing AI appplications in mining to build a library of algorithms, techniques and applications and using those to develop a guideline for applying AI.

Description

The output of this project may include guidance on:

  • Defining failure
  • Defining a meaningful data set
  • Change management
  • Getting started
  • Technical implementation (e.g., sensors and units of measurement, data storage, analytics, connectivity, edge computing)
  • Classifying tools and techniques
  • Scaling solutions
  • Improving data literacy

Business Case

Many mining stakeholders have implemented various AI applications and experimented with different approaches—some have seen success while others have been disappointed. This project aims to leverage lessons learned from these efforts to build a library of algorithms, techniques and applications and using those to develop a guideline for applying AI.

For more information, contact Donald Roberge droberge@gmggroup.org

X