The Applications of AI in Mining project group will host a regional workshop in Melbourne at the end of October to work on further defining this recently launched project.
Is Melbourne too far away? A parallel workshop will be held in Montreal, Canada on October 31.
Background
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.
An initial workshop was held in September, where participants identified several potential project deliverables. 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
Objectives
This project is still in its very early stages, so a key objective for this workshop will be around further defining the nature of the project and a path for moving forward. For example, participants will:
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- Refine the scope of the project
- Define a method for moving forward
- Identify how the project output will be presented
- Identify first steps
Further information
We invite those with an interest in and experience with AI and digital transformation in mining to register for this workshop.
An agenda and logistical details will be sent to all registered participants prior to the workshop.
For more information please contact Donald Roberge, droberge@gmgggroup.org
Thank you to the University of Melbourne for hosting