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Schedule
March 12 (AM) - Harnessing AI and Applications of Data
The Role of AI in the Future of Mining – From Hype to Practical Impact
The integration of AI in mining has enhanced efficiency, reduced costs, and minimized environmental impact. AI technologies optimize exploration and extraction, enabling informed decision-making and sustainability. However, responsible AI adoption is crucial to ensure fairness, transparency, and accountability. Challenges like data quality, process complexity, and workforce skills remain obstacles. This talk explores AI strategy in mining, highlighting responsible adoption, ethical implications, real-world applications, and key challenges to support successful implementation.
Louis Coetzee
Senior Manager (Data and Artificial Intelligence) Accenture
Harnessing AI in Mining: Strategies, Ethical Considerations, and Real-World Applications
There is significant perceived value in applying Artificial Intelligence (AI) across various industries, including mining. This presentation provides an overview of AI’s evolution and how its development has influenced technology adoption in the sector. We will distinguish between the hype surrounding AI and its practical applications, drawing lessons from other industries. Particular attention will be given to how AI can advance Environmental, Social, and Governance (ESG) objectives and contribute to sustainable mining practices. Practical examples will illustrate AI’s role in optimizing resource efficiency, reducing environmental impact, and enhancing workplace safety—demonstrating how AI can help mining operations achieve meaningful and measurable progress toward sustainability goals.
Fanie Terblanche
Mining Director, Elytica, a subsidiary of Epiroc
Panel: Harnessing AI and Applications of Data in Mining
AI is revolutionizing mining by enabling predictive maintenance, optimizing resource allocation, and advancing autonomous haulage and mineral exploration. This panel will explore AI readiness in the sector, including infrastructure, workforce upskilling, and ethical considerations. Experts will discuss practical strategies for AI adoption, its role in driving sustainability through energy optimization and emissions reduction, and insights from other industries. Attendees will gain actionable knowledge on integrating AI into operations while balancing innovation, efficiency, and responsible implementation.
Moderator:
Gargi Mishra, Advisory Council Member, Women in Mining Business, WiMBIZ SA
Panelists:
M. Ahsan Mahboob, Head of Sibanye-Stillwater Digital Mining Laboratory, Acting Director of the Wits Mining Institute (WMI), Wits Digimine
Shaun Vorster, Partner, Forvis Mazars
AI in Mining: Tackling Industry Challenges with Smart Solutions (Working Session)
March 12 (PM) - Decarbonization and Electrification: The Path Forward
Mining Company TBA
Decarbonization: Working Together on Practical Solutions (Working Session)
Now only five years away from 2030, what is it going to take to achieve those emissions targets and beyond? During this working session participants will work together to identify practical solutions to achieve success.
Case Study on Electrification – Road to Net Zero
Panel: Energy Management, Decarbonization, and South Africa’s Energy Strategy
This session will focus on technical and operational strategies for reducing mining’s carbon footprint through energy efficiency, electrification, and alternative energy sources like hydrogen, solar, and wind. Panelists will examine South Africa’s unique energy landscape as both a producer and consumer, alongside regulatory and policy considerations impacting energy transitions. Attendees will gain actionable insights into optimizing energy use, integrating renewables, and navigating decarbonization pathways while maintaining operational efficiency.
Moderator: Stan Pillay, Lead – Carbon and Innovation, Anglo American
Panelists: Brian Huff, Vice President of New Technologies, Sandvik. Sudhir Thakurdin, Senior Process Engineer, Hatch
March 13 (AM) - New Technologies and Approaches for Maximum Impact
Louis Coetzee
Senior Manager (Data and Artificial Intelligence) Accenture
The Role of AI in the Future of Mining – From Hype to Practical Impact
The integration of AI in mining has enhanced efficiency, reduced costs, and minimized environmental impact. AI technologies optimize exploration and extraction, enabling informed decision-making and sustainability. However, responsible AI adoption is crucial to ensure fairness, transparency, and accountability. Challenges like data quality, process complexity, and workforce skills remain obstacles. This talk explores AI strategy in mining, highlighting responsible adoption, ethical implications, real-world applications, and key challenges to support successful implementation.
Fanie Terblanche
Mining Director, Elytica, a subsidiary of Epiroc
Harnessing AI in Mining: Strategies, Ethical Considerations, and Real-World Applications
There is significant perceived value in applying Artificial Intelligence (AI) across various industries, including mining. This presentation provides an overview of AI’s evolution and how its development has influenced technology adoption in the sector. We will distinguish between the hype surrounding AI and its practical applications, drawing lessons from other industries. Particular attention will be given to how AI can advance Environmental, Social, and Governance (ESG) objectives and contribute to sustainable mining practices. Practical examples will illustrate AI’s role in optimizing resource efficiency, reducing environmental impact, and enhancing workplace safety—demonstrating how AI can help mining operations achieve meaningful and measurable progress toward sustainability goals.
Panel: Harnessing AI and Applications of Data in Mining
AI is revolutionizing mining by enabling predictive maintenance, optimizing resource allocation, and advancing autonomous haulage and mineral exploration. This panel will explore AI readiness in the sector, including infrastructure, workforce upskilling, and ethical considerations. Experts will discuss practical strategies for AI adoption, its role in driving sustainability through energy optimization and emissions reduction, and insights from other industries. Attendees will gain actionable knowledge on integrating AI into operations while balancing innovation, efficiency, and responsible implementation.
Moderator:
Gargi Mishra, Advisory Council Member, Women in Mining Business, WiMBIZ SA
Panelists:
M. Ahsan Mahboob, Head of Sibanye-Stillwater Digital Mining Laboratory, Acting Director of the Wits Mining Institute (WMI), Wits Digimine
Shaun Vorster, Partner, Forvis Mazars
AI in Mining: Tackling Industry Challenges with Smart Solutions (Working Session)
March 13 (PM) - Achieving Value Through Full Site Integration
Louis Coetzee
Senior Manager (Data and Artificial Intelligence) Accenture
The Role of AI in the Future of Mining – From Hype to Practical Impact
The integration of AI in mining has enhanced efficiency, reduced costs, and minimized environmental impact. AI technologies optimize exploration and extraction, enabling informed decision-making and sustainability. However, responsible AI adoption is crucial to ensure fairness, transparency, and accountability. Challenges like data quality, process complexity, and workforce skills remain obstacles. This talk explores AI strategy in mining, highlighting responsible adoption, ethical implications, real-world applications, and key challenges to support successful implementation.
Fanie Terblanche
Mining Director, Elytica, a subsidiary of Epiroc
Harnessing AI in Mining: Strategies, Ethical Considerations, and Real-World Applications
There is significant perceived value in applying Artificial Intelligence (AI) across various industries, including mining. This presentation provides an overview of AI’s evolution and how its development has influenced technology adoption in the sector. We will distinguish between the hype surrounding AI and its practical applications, drawing lessons from other industries. Particular attention will be given to how AI can advance Environmental, Social, and Governance (ESG) objectives and contribute to sustainable mining practices. Practical examples will illustrate AI’s role in optimizing resource efficiency, reducing environmental impact, and enhancing workplace safety—demonstrating how AI can help mining operations achieve meaningful and measurable progress toward sustainability goals.
Panel: Harnessing AI and Applications of Data in Mining
AI is revolutionizing mining by enabling predictive maintenance, optimizing resource allocation, and advancing autonomous haulage and mineral exploration. This panel will explore AI readiness in the sector, including infrastructure, workforce upskilling, and ethical considerations. Experts will discuss practical strategies for AI adoption, its role in driving sustainability through energy optimization and emissions reduction, and insights from other industries. Attendees will gain actionable knowledge on integrating AI into operations while balancing innovation, efficiency, and responsible implementation.
Moderator:
Gargi Mishra, Advisory Council Member, Women in Mining Business, WiMBIZ SA
Panelists:
M. Ahsan Mahboob, Head of Sibanye-Stillwater Digital Mining Laboratory, Acting Director of the Wits Mining Institute (WMI), Wits Digimine
Shaun Vorster, Partner, Forvis Mazars
AI in Mining: Tackling Industry Challenges with Smart Solutions (Working Session)
Speakers
Andrew Scott, Ambassador | GMG
Louis Coetzee
Senior Manager (Data and Artificial Intelligence) Accenture
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Fanie Terblanche
Mining Director, Elytica, a subsidiary of Epiroc
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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Panel: Harnessing AI and Applications of Data in Mining
AI is revolutionizing mining by enabling predictive maintenance, optimizing resource allocation, and advancing autonomous haulage and mineral exploration. This panel will explore AI readiness in the sector, including infrastructure, workforce upskilling, and ethical considerations. Experts will discuss practical strategies for AI adoption, its role in driving sustainability through energy optimization and emissions reduction, and insights from other industries. Attendees will gain actionable knowledge on integrating AI into operations while balancing innovation, efficiency, and responsible implementation.
Moderator:
Gargi Mishra, Advisory Council Member, Women in Mining Business, WiMBIZ SA
Panelists:
M. Ahsan Mahboob, Head of Sibanye-Stillwater Digital Mining Laboratory, Acting Director of the Wits Mining Institute (WMI), Wits Digimine
Shaun Vorster, Partner, Forvis Mazars
AI in Mining: Tackling Industry Challenges with Smart Solutions (Working Session)
Brian Huff, Vice President of New Technologies | Sandvik
Mining Company TBA
Decarbonization: Working Together on Practical Solutions (Working Session)
Now only five years away from 2030, what is it going to take to achieve those emissions targets and beyond? During this working session participants will work together to identify practical solutions to achieve success.
Case Study on Electrification – Road to Net Zero
Panel: Energy Management, Decarbonization, and South Africa’s Energy Strategy
This session will focus on technical and operational strategies for reducing mining’s carbon footprint through energy efficiency, electrification, and alternative energy sources like hydrogen, solar, and wind. Panelists will examine South Africa’s unique energy landscape as both a producer and consumer, alongside regulatory and policy considerations impacting energy transitions. Attendees will gain actionable insights into optimizing energy use, integrating renewables, and navigating decarbonization pathways while maintaining operational efficiency.
Moderator: Stan Pillay, Lead – Carbon and Innovation, Anglo American
Panelists: Brian Huff, Vice President of New Technologies, Sandvik. Sudhir Thakurdin, Senior Process Engineer, Hatch
Fanie Terblanche, Managing Director | Elytica, a subsidiary of Epiroc
Louis Coetzee
Senior Manager (Data and Artificial Intelligence) Accenture
The Role of AI in the Future of Mining – From Hype to Practical Impact
The integration of AI in mining has enhanced efficiency, reduced costs, and minimized environmental impact. AI technologies optimize exploration and extraction, enabling informed decision-making and sustainability. However, responsible AI adoption is crucial to ensure fairness, transparency, and accountability. Challenges like data quality, process complexity, and workforce skills remain obstacles. This talk explores AI strategy in mining, highlighting responsible adoption, ethical implications, real-world applications, and key challenges to support successful implementation.
Fanie Terblanche
Mining Director, Elytica, a subsidiary of Epiroc
Harnessing AI in Mining: Strategies, Ethical Considerations, and Real-World Applications
There is significant perceived value in applying Artificial Intelligence (AI) across various industries, including mining. This presentation provides an overview of AI’s evolution and how its development has influenced technology adoption in the sector. We will distinguish between the hype surrounding AI and its practical applications, drawing lessons from other industries. Particular attention will be given to how AI can advance Environmental, Social, and Governance (ESG) objectives and contribute to sustainable mining practices. Practical examples will illustrate AI’s role in optimizing resource efficiency, reducing environmental impact, and enhancing workplace safety—demonstrating how AI can help mining operations achieve meaningful and measurable progress toward sustainability goals.
Panel: Harnessing AI and Applications of Data in Mining
AI is revolutionizing mining by enabling predictive maintenance, optimizing resource allocation, and advancing autonomous haulage and mineral exploration. This panel will explore AI readiness in the sector, including infrastructure, workforce upskilling, and ethical considerations. Experts will discuss practical strategies for AI adoption, its role in driving sustainability through energy optimization and emissions reduction, and insights from other industries. Attendees will gain actionable knowledge on integrating AI into operations while balancing innovation, efficiency, and responsible implementation.
Moderator:
Gargi Mishra, Advisory Council Member, Women in Mining Business, WiMBIZ SA
Panelists:
M. Ahsan Mahboob, Head of Sibanye-Stillwater Digital Mining Laboratory, Acting Director of the Wits Mining Institute (WMI), Wits Digimine
Shaun Vorster, Partner, Forvis Mazars
AI in Mining: Tackling Industry Challenges with Smart Solutions (Working Session)
Gargi Mishra, Advisory Council Member, Women in Mining Business | WiMBIZ SA
Louis Coetzee
Senior Manager (Data and Artificial Intelligence) Accenture
The Role of AI in the Future of Mining – From Hype to Practical Impact
The integration of AI in mining has enhanced efficiency, reduced costs, and minimized environmental impact. AI technologies optimize exploration and extraction, enabling informed decision-making and sustainability. However, responsible AI adoption is crucial to ensure fairness, transparency, and accountability. Challenges like data quality, process complexity, and workforce skills remain obstacles. This talk explores AI strategy in mining, highlighting responsible adoption, ethical implications, real-world applications, and key challenges to support successful implementation.
Fanie Terblanche
Mining Director, Elytica, a subsidiary of Epiroc
Harnessing AI in Mining: Strategies, Ethical Considerations, and Real-World Applications
There is significant perceived value in applying Artificial Intelligence (AI) across various industries, including mining. This presentation provides an overview of AI’s evolution and how its development has influenced technology adoption in the sector. We will distinguish between the hype surrounding AI and its practical applications, drawing lessons from other industries. Particular attention will be given to how AI can advance Environmental, Social, and Governance (ESG) objectives and contribute to sustainable mining practices. Practical examples will illustrate AI’s role in optimizing resource efficiency, reducing environmental impact, and enhancing workplace safety—demonstrating how AI can help mining operations achieve meaningful and measurable progress toward sustainability goals.
Panel: Harnessing AI and Applications of Data in Mining
AI is revolutionizing mining by enabling predictive maintenance, optimizing resource allocation, and advancing autonomous haulage and mineral exploration. This panel will explore AI readiness in the sector, including infrastructure, workforce upskilling, and ethical considerations. Experts will discuss practical strategies for AI adoption, its role in driving sustainability through energy optimization and emissions reduction, and insights from other industries. Attendees will gain actionable knowledge on integrating AI into operations while balancing innovation, efficiency, and responsible implementation.
Moderator:
Gargi Mishra, Advisory Council Member, Women in Mining Business, WiMBIZ SA
Panelists:
M. Ahsan Mahboob, Head of Sibanye-Stillwater Digital Mining Laboratory, Acting Director of the Wits Mining Institute (WMI), Wits Digimine
Shaun Vorster, Partner, Forvis Mazars
AI in Mining: Tackling Industry Challenges with Smart Solutions (Working Session)
Sponsors
