Global Mining Guidelines Group

FOUNDATIONS OF AI: A FRAMEWORK FOR AI IN MINING

Published: 2019-10-20
Working Group: Artificial Intelligence

ABSTRACT

This white paper offers an overview of the process of planning for and implementing artificial intelligence (AI) solutions for mining companies. It addresses a variety of concerns, such as the challenge of establishing data infrastructure, apprehensions about the effect on the workforce and worries about failure after investing substantial time and funds into an AI project.

The document provides a realistic strategy for building a foundation for planning, implementing and moving forward with AI.

The following levels of maturity are used as a guide to help transition to an AI-enabled mine:

  • Level 1: Basic
  • Level 2: Foundation
  • Level 3: Integrated
  • Level 4: Decision Supported
  • Level 5: Automated

While AI has many potential benefits, there are also many challenges with integrating it into an existing mining operation. These can be overcome through a robust foundation of planning, research, and assessment, and by establishing well-defined infrastructures and platforms, clear communication practices, and effective change management.

EXECUTIVE SUMMARY

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FIGURES AND TABLES

Figure 1. A Visualization of how AI-Related Concepts Intersect
Figure 1. A Visualization of how AI-Related Concepts Intersect
Figure 3. AI in Mining Maturity Model
Figure 3. AI in Mining Maturity Model
Figure 5. Problem and Success Criteria Definition Process
Figure 5. Problem and Success Criteria Definition Process
Figure 6. Data Exploration Approach
Figure 6. Data Exploration Approach
Figure 7. Data Organization and Collection Process
Figure 7. Data Organization and Collection Process
Figure 8. AI Pilot Project Process
Figure 8. AI Pilot Project Process
Figure 9. Validation Process
Figure 9. Validation Process
Table 1. Example Project Scoping Matrix
Table 1. Example Project Scoping Matrix
Table 2. Deciding Factors for Building Internal or External AI Teams
Table 2. Deciding Factors for Building Internal or External AI Teams
Table 3. Cloud-Based and On-Premise Data Infrastructures
Table 3. Cloud-Based and On-Premise Data Infrastructures

SUPPLEMENTARY CONTENT

Foundations of AI in Mining Webinar Recording
Foundations of AI in Mining Webinar Recording

PRESS RELEASE

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RELATED WORK

Implementation of AI in Mining

Open Data Sets for AI in Mining

CONTINUE COLLABORATING

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