Driving sustainable investment in African Mining

Mfikeyi Makayi

CEO Africa KoBold Metals

Mfikeyi is a seasoned mining professional with 17 years experience in industry. She worked as a civil & mining engineer at First Quantum’s Kansanshi Copper-Gold mine, as well as global internal audit division covering Australia, Finland, Mauritania and Panama’s operations.

 She was also the Country Manager and Director of one of Zambia’s largest mining and construction equipment supply and services companies, running the Caterpillar dealership in Zambia, Barloworld Equipment Zambia Ltd. Her portfolio covered all large surface and underground copper mines on the Zambian Copperbelt as well as Gemfields’ Kagem mine, the world’s largest emerald mine.

Mfikeyi is a holder of 4 degrees. She has a BSc in Civil Engineering and an M. Eng in Environmental Engineering both from Old Dominion University, United States, an M.Sc. in Mining Engineering from Camborne School of Mines at the University of Exeter in the United Kingdom, and an Executive MBA from the highly ranked African business school, Lagos Business School at Pan-Atlantic University, in Nigeria.
 


2025 Agenda Sessions

How can technological innovation in mineral exploration help address the mineral discovery deficit?

  • How is emerging technology revolutionising geoscientific data, acquisition, processing, and integration and is this expediating and derisking mineral exploration? 
  • How can the application of AI and machine learning  help reduce the time from data to insight and remove uncertainty in understanding the mineral deposit? Will this attract investment?  
  • Is technological maturity and the high upfront cost of many exploration technologies putting organisations off? 

Wednesday 05 February 13:10 - 13:55 CTICC1

Tech & Innovation Hub

Add to calendar 02/05/2025 13:10 02/05/2025 13:55 How can technological innovation in mineral exploration help address the mineral discovery deficit?
  • How is emerging technology revolutionising geoscientific data, acquisition, processing, and integration and is this expediating and derisking mineral exploration? 
  • How can the application of AI and machine learning  help reduce the time from data to insight and remove uncertainty in understanding the mineral deposit? Will this attract investment?  
  • Is technological maturity and the high upfront cost of many exploration technologies putting organisations off? 
CTICC1 Africa/Johannesburg