Artificial Intelligence in Future Mining

Capture the future of resource extraction with Artificial Intelligence in Future Mining by Razmjou Amir. This compelling guide illuminates how artificial intelligence is reshaping mining operations worldwide — from exploration and processing to safety and environmental stewardship.

Begin with a clear, forward-looking overview that hooks readers interested in the intersection of technology and industry. The book explains core AI concepts applied to mining — machine learning, predictive maintenance, autonomous vehicles, and sensor-driven decision systems — in practical, accessible language. Readers gain insight into how data-driven strategies improve productivity, reduce downtime, and enhance worker safety without sacrificing operational clarity.

Designed for mining engineers, data scientists, operations managers, and policymakers, the text connects theory to real-world outcomes. It highlights regional relevance for major mining hubs including Australia, Canada, Chile, and South Africa, showing how local geology, regulation, and infrastructure shape AI adoption. Sustainability and compliance receive prominent treatment, demonstrating how AI supports environmental monitoring, waste reduction, and smarter resource management.

By marrying technical depth with strategic guidance, Razmjou Amir offers a roadmap for decision-makers seeking competitive advantage in an increasingly automated sector. Whether you’re planning an AI pilot or scaling a digital transformation, this book delivers actionable perspectives and practical frameworks.

Prepare your organization for the next generation of mining. Secure your copy of Artificial Intelligence in Future Mining today and lead the transition to safer, smarter, and more sustainable mining operations.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.