This recently launched project aims to leverage lessons learned from existing AI applications in mining, collect techniques and applications and use those to develop a guideline for applying AI.
The output of this project may include guidance on:
Defining a meaningful data set
Technical implementation (e.g., sensors and units of measurement, data storage, analytics, connectivity, edge computing)
Classifying tools and techniques
Improving data literacy
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 create a sharing platform for techniques and applications and using those to develop a guideline for applying AI.