3
Finance
PayPal has enhanced fraud detection by using infer-
ence LLMs powered by graphics processing units, which
improved real-time fraud detection by 10% while reduc-
ing server capacity nearly 8x. By analyzing transaction pat-
terns and customer communications, PayPal’s AI system
identifies anomalies that may indicate fraudulent activity
(Levitt, 2023).
The AI’s ability to process vast amounts of data quickly
and accurately creates significant value by protecting finan-
cial assets and maintaining customer trust. Mining com-
panies could apply similar AI-driven systems to monitor
financial transactions and supply chain integrity, safeguard-
ing against fraud and ensuring operational continuity.
Education
Khanmigo, an AI-powered personal tutor and teaching
assistant from Khan Academy, offers a unique approach to
learning. Unlike other AI tools, Khanmigo doesn’t simply
provide answers it patiently guides learners to discover the
answer themselves. Integrated with Khan Academy’s exten-
sive content library, Khanmigo has been rated highly by
Common Sense Media for its engaging and effective learn-
ing experience (Khan Academy, 2024).
For teachers, Khanmigo reduces busy work by assist-
ing with lesson plans, quiz questions, and more. Mining
companies could use similar AI applications for training
and development, offering personalized learning paths
for employees to advance their skills in line with industry
advancements and company objectives.
LLMS IN THE MINING INDUSTRY:
POTENTIAL APPLICATIONS
Regulatory Compliance and Incident Response
Overview
Staying abreast of regulatory compliance and being prepared
for incident response are critical components of operational
management. Mine managers as well as health, safety, envi-
ronment and community (HSEC) teams are tasked with
the complex responsibility of understanding and adhering
to a myriad of acts, regulations, and standards, while also
ensuring that site procedures and policies are up-to-date
and enforceable.
Furthermore, in the event of an incident, swift and
appropriate action is required to align with regulatory
requirements and to minimize impact. An LLM-based
system designed for regulatory compliance and incident
response can provide invaluable support in these areas,
offering real-time assistance, ensuring legal conformity,
and guiding managers through the intricacies of incident
management.
How the Solution Could Work
An LLM-based system for regulatory compliance and inci-
dent response would act as an intelligent assistant for Mine
Managers and HSEC Managers. The system would be pro-
grammed with up-to-date knowledge of relevant acts, regu-
lations, and standards. Using natural language processing,
the LLM would interpret legal texts and provide concise
summaries and actionable guidance. For compliance, the
system could review site procedures and policies, compar-
ing them against current legislation to ensure alignment. In
the event of an incident, the LLM would guide managers
through the necessary response steps, ensuring that all regu-
latory requirements are met promptly.
Value Provided
This solution would serve as a real-time reference tool,
enabling managers to make informed decisions quickly,
which is especially critical during incident response. By
ensuring that site procedures are always in compliance with
the latest regulations, the system would help prevent legal
infractions and potential fines.
In the case of an incident, the LLM’s guidance would
help managers take the correct actions to mitigate risks,
manage communications, and document the response in
accordance with regulatory expectations, thereby safeguard-
ing the company’s reputation and legal standing.
Implementation Feasibility
To implement this system, a comprehensive database of
relevant legal and regulatory documents would need to
be compiled and regularly updated. The LLM would be
trained on this database to understand the specific legal lan-
guage and requirements of the mining industry. Integration
with the company’s existing policy management and inci-
dent response systems would be necessary to provide seam-
less functionality.
While the initial setup may require a significant invest-
ment in terms of data collection and system training, the
ongoing updates and maintenance could be automated to
a large extent. The feasibility of this system is high, given
the clear structure of legal documents and the critical need
for compliance in the mining industry. The system would
be designed with a user-friendly interface to ensure that it
is accessible and easy to use for managers who may not have
specialized legal expertise.
Finance
PayPal has enhanced fraud detection by using infer-
ence LLMs powered by graphics processing units, which
improved real-time fraud detection by 10% while reduc-
ing server capacity nearly 8x. By analyzing transaction pat-
terns and customer communications, PayPal’s AI system
identifies anomalies that may indicate fraudulent activity
(Levitt, 2023).
The AI’s ability to process vast amounts of data quickly
and accurately creates significant value by protecting finan-
cial assets and maintaining customer trust. Mining com-
panies could apply similar AI-driven systems to monitor
financial transactions and supply chain integrity, safeguard-
ing against fraud and ensuring operational continuity.
Education
Khanmigo, an AI-powered personal tutor and teaching
assistant from Khan Academy, offers a unique approach to
learning. Unlike other AI tools, Khanmigo doesn’t simply
provide answers it patiently guides learners to discover the
answer themselves. Integrated with Khan Academy’s exten-
sive content library, Khanmigo has been rated highly by
Common Sense Media for its engaging and effective learn-
ing experience (Khan Academy, 2024).
For teachers, Khanmigo reduces busy work by assist-
ing with lesson plans, quiz questions, and more. Mining
companies could use similar AI applications for training
and development, offering personalized learning paths
for employees to advance their skills in line with industry
advancements and company objectives.
LLMS IN THE MINING INDUSTRY:
POTENTIAL APPLICATIONS
Regulatory Compliance and Incident Response
Overview
Staying abreast of regulatory compliance and being prepared
for incident response are critical components of operational
management. Mine managers as well as health, safety, envi-
ronment and community (HSEC) teams are tasked with
the complex responsibility of understanding and adhering
to a myriad of acts, regulations, and standards, while also
ensuring that site procedures and policies are up-to-date
and enforceable.
Furthermore, in the event of an incident, swift and
appropriate action is required to align with regulatory
requirements and to minimize impact. An LLM-based
system designed for regulatory compliance and incident
response can provide invaluable support in these areas,
offering real-time assistance, ensuring legal conformity,
and guiding managers through the intricacies of incident
management.
How the Solution Could Work
An LLM-based system for regulatory compliance and inci-
dent response would act as an intelligent assistant for Mine
Managers and HSEC Managers. The system would be pro-
grammed with up-to-date knowledge of relevant acts, regu-
lations, and standards. Using natural language processing,
the LLM would interpret legal texts and provide concise
summaries and actionable guidance. For compliance, the
system could review site procedures and policies, compar-
ing them against current legislation to ensure alignment. In
the event of an incident, the LLM would guide managers
through the necessary response steps, ensuring that all regu-
latory requirements are met promptly.
Value Provided
This solution would serve as a real-time reference tool,
enabling managers to make informed decisions quickly,
which is especially critical during incident response. By
ensuring that site procedures are always in compliance with
the latest regulations, the system would help prevent legal
infractions and potential fines.
In the case of an incident, the LLM’s guidance would
help managers take the correct actions to mitigate risks,
manage communications, and document the response in
accordance with regulatory expectations, thereby safeguard-
ing the company’s reputation and legal standing.
Implementation Feasibility
To implement this system, a comprehensive database of
relevant legal and regulatory documents would need to
be compiled and regularly updated. The LLM would be
trained on this database to understand the specific legal lan-
guage and requirements of the mining industry. Integration
with the company’s existing policy management and inci-
dent response systems would be necessary to provide seam-
less functionality.
While the initial setup may require a significant invest-
ment in terms of data collection and system training, the
ongoing updates and maintenance could be automated to
a large extent. The feasibility of this system is high, given
the clear structure of legal documents and the critical need
for compliance in the mining industry. The system would
be designed with a user-friendly interface to ensure that it
is accessible and easy to use for managers who may not have
specialized legal expertise.