Selim Kaymak’s Post

I commend the CEO of Moti Group for highlighting the transformative potential of AI adoption in Africa's mining sector. His insights underscore the proactive approach some companies are taking to integrate AI, leading to cost reduction, enhanced efficiencies, and better decision-making. By exploring the nexus between AI and the demand for minerals like lithium, the post illuminates significant economic benefits, including growth, increased tax revenue, and job creation. Embracing AI isn't just a choice; it's essential for driving development across Africa's mining industry, and I look forward to seeing its positive impact firsthand. #miningindaba2024 #miningreview #miningpartnerships #aiadoption

In my latest thought leadership piece, I delve into the transformative potential of artificial intelligence (AI) adoption within Africa's mining sector, a topic of considerable discussion at the recent Investing in African Mining Indaba in Cape Town. I highlight the profound impact AI technologies can have on mining operations, from cost reduction to enhanced efficiencies and better decision-making processes. Drawing from examples such as the Moti Group and Kilken Platinum, I underscore the proactive approach some African mining companies are taking by integrating AI into their operations to gain competitive advantages. Additionally, I stress the importance of mining companies not only embracing AI within their operations but also seizing opportunities to meet the growing demand for AI technology. By exploring the nexus between AI and the demand for minerals like lithium, I illuminate potential economic benefits for mining ventures. Ultimately, I argue that AI adoption could catalyze growth, increase tax revenue, and foster job creation, thereby driving development across the continent's mining industry. #MotiGroup #MiningIndaba #MiningWeek #Mining https://lnkd.in/dbR6mQ9b

“Technology is a key driver of competitive advantage as the #digital and physical realms are merging. The mining industry cannot afford to ignore this #trend because mining digitisation connects key #assets in and across the mine and across the mining value chain, including people, technology, and processes. This results in improved operational performance by enhancing visibility across the mining value chain and enabling real-time decisions based on current information. Mines can respond to changes in production, supply and customer conditions with greater speed and agility,” Alana de Wet (A), iOCO’s Industry Lead for Mining, Energy and Industrials, tells WhyAfrica. iOCO  Leon Louw #whyafrica #technology #digitalisation #AI #machinelearning #africa #mining #exploration #naturalresources    https://lnkd.in/dM2WXHn5

The world needs more mining than it is currently imagining. The increasing demand for minerals and metals driven by the burgeoning Artificial Intelligence Industrial Complex underscores the urgency to modernize mining practices. As global industries adopt forward-looking technologies, the reliance on these resources will only intensify. Therefore, accelerating the commercialization of mining innovations becomes paramount. This initiative not only meets current demands but also prepares us for future needs in a rapidly advancing world." For more detailed insights, you can refer to the article on critical minerals and their importance in the AI boom - https://lnkd.in/gvn7UYQM #mining #innovation https://lnkd.in/gvn7UYQM

An interesting article aluding to the complexities of the green energy transition, amidis mining legacy.

“Technology is a key driver of competitive advantage as the #digital and physical realms are merging. The mining industry cannot afford to ignore this #trend because mining digitisation connects key #assets in and across the mine and across the mining value chain, including people, technology, and processes. This results in improved operational performance by enhancing visibility across the mining value chain and enabling real-time decisions based on current information. Mines can respond to changes in production, supply and customer conditions with greater speed and agility,” Alana de Wet (A), iOCO’s Industry Lead for Mining, Energy and Industrials, tells WhyAfrica. iOCO  Leon Louw #whyafrica #technology #digitalisation #AI #machinelearning #africa #mining #exploration #naturalresources    https://lnkd.in/dFCdWCiu

“Interpreting such complex datasets is too much for individuals, no matter how accomplished or well-educated they are, especially as sensor technology keeps improving and providing more and more insights into the ground and rocks and minerals beneath our feet.” JT Clark, Chief Executive Officer of VERACIO For the mining industry, this is where AI comes into the picture. Read more about what’s needed in the future of mining technology in a new op-ed by JT: https://lnkd.in/gZXiwETq

How can we mine smarter? It’s a question Grant Caffery asks in a piece for The Intelligent Miner - and it’s a question with real-world and real-time financial consequences. “AI and ML can typically achieve operational improvements of 10-30%, with potential enhancements, for example, in safety rates, consumable usage, utilisation and availability, ranging from 50% to 90% in specific use cases.” That’s an incredible achievement in continuous improvement, and in an era where mining is necessary to unlock the energy transition, it’s not an idea that should be passed over. Read more about smart, precision, efficient mining here.

The emergence of digital technologies such as machine-learning and artificial intelligence (AI) has introduced new gains in efficiency and productivity in the mining sector. One market estimate predicts that investment into AI by the mining sector will reach $7.26 billion (R134bn) by 2033, driven by a compound annual growth rate of 22.7%. AI will unquestionably play a leading role in the mining sector’s success in the coming years. AI lends itself to a myriad of applications across the mining value chain. In this article, I provide a brief synopsis of AI's potential in mining. #artificialintelligence #AI #mining #machinelearning

Digital transformation is essential for a resilient, durable, and sustainable mining sector in the global energy transition. Mining companies are adopting digital technologies to accelerate innovation across the entire mining value chain, from exploration and extraction to processing and transportation. The trends emphasize broader goals in the transition to net-zero emissions. Meeting these goals requires a strong data foundation, digital effectiveness, and digital maturity.