7
system can be scaled and adapted to new equipment and
technologies.
The ongoing maintenance of the system would involve
regular updates to the LLM’s training data to account for
new equipment, changes in operation conditions, and
evolving maintenance practices. With a strong commit-
ment to digital transformation and data management,
the implementation of this LLM solution can be a strate-
gic move for mining companies looking to optimize their
maintenance operations.
LLMS IN THE MINING INDUSTRY:
EVALUATION OF OPPORTUNITIES
These opportunities were assessed based on their value to
the company and the ease of implementation. The results
are shown in Table 1 and Figure 1.
CONSIDERATIONS FOR
IMPLEMENTATION
Barriers to Adoption in Mining
The implementation of Large Language Models (LLMs)
within mining organizations can encounter several barri-
ers. One significant challenge is the resistance to change,
as mining is an industry with established processes and a
workforce that may be skeptical of new technologies. AI in
particular requires a level of trust from users that can take a
long time to build.
There is also the issue of technological integration,
where existing IT infrastructures may not be compatible
with the latest AI systems, requiring substantial upgrades
or overhauls.
Data privacy and security concerns are paramount,
given the sensitive nature of contractual and operational
information in mining. Additionally, the accuracy and
reliability of LLMs in interpreting complex and technical
mining language can be a concern, as any misinterpretation
could lead to costly mistakes.
Recommendations for Overcoming Barriers
To overcome these barriers, it is essential to engage in
comprehensive change management strategies, including
Table 1. Evaluation of Opportunities for LLMs in Mining
Opportunity
Value to
Companies
Ease of
Implementation
Regulatory Compliance and
Incident Response
2 5
Contract Management and
Administration
5 3
Bidding and Tendering 2 3
Training and Safety
Compliance
2 1
Hazard and Incident
Reporting
4 2
Preventative maintenance 3 1
Figure 1. Evaluation of LLM Opportunities in Mining
system can be scaled and adapted to new equipment and
technologies.
The ongoing maintenance of the system would involve
regular updates to the LLM’s training data to account for
new equipment, changes in operation conditions, and
evolving maintenance practices. With a strong commit-
ment to digital transformation and data management,
the implementation of this LLM solution can be a strate-
gic move for mining companies looking to optimize their
maintenance operations.
LLMS IN THE MINING INDUSTRY:
EVALUATION OF OPPORTUNITIES
These opportunities were assessed based on their value to
the company and the ease of implementation. The results
are shown in Table 1 and Figure 1.
CONSIDERATIONS FOR
IMPLEMENTATION
Barriers to Adoption in Mining
The implementation of Large Language Models (LLMs)
within mining organizations can encounter several barri-
ers. One significant challenge is the resistance to change,
as mining is an industry with established processes and a
workforce that may be skeptical of new technologies. AI in
particular requires a level of trust from users that can take a
long time to build.
There is also the issue of technological integration,
where existing IT infrastructures may not be compatible
with the latest AI systems, requiring substantial upgrades
or overhauls.
Data privacy and security concerns are paramount,
given the sensitive nature of contractual and operational
information in mining. Additionally, the accuracy and
reliability of LLMs in interpreting complex and technical
mining language can be a concern, as any misinterpretation
could lead to costly mistakes.
Recommendations for Overcoming Barriers
To overcome these barriers, it is essential to engage in
comprehensive change management strategies, including
Table 1. Evaluation of Opportunities for LLMs in Mining
Opportunity
Value to
Companies
Ease of
Implementation
Regulatory Compliance and
Incident Response
2 5
Contract Management and
Administration
5 3
Bidding and Tendering 2 3
Training and Safety
Compliance
2 1
Hazard and Incident
Reporting
4 2
Preventative maintenance 3 1
Figure 1. Evaluation of LLM Opportunities in Mining