Workflow Management
What do Formula 1 racing and tailings storage have in common? More than you’d think - especially when AI joins the engineering crew.
For years, exploration teams have wrestled with data chaos in the field.
When Katrina Garven, Principal Database Consultant at Alias Database Services, reflects on how mining and exploration companies use geological data, she sees an industry undergoing a quiet revolution.
The future of mineral exploration may hinge less on drill rigs and more on the quality of the data flowing from them.
Henry Dillon, Global Customer Success Manager - Geoscience at Maptek, used his time on stage at APCOM2025 in Perth to challenge one of the industry’s most entrenched habits - treating resource models as static snapshots.
Tailings monitoring is a lot like health care - when it’s reactive, it can cost you dearly, but when it’s proactive, structured and consistent, it becomes a powerful tool for preventing failure, demonstrating stewardship, and building long-term confidence in your facility.
In a sector where “take-or-pay” contracts have long dictated how miners move their commodities, one new entrant is promising a more flexible model that puts the needs of producers first.
In the high-stakes world of tailings storage facility (TSF) construction, ensuring conformance to design and safety standards is a non-negotiable part of the job.
From the outside, the conversation around digital mining often gets framed in broad terms - automation, Information of Things (IoT), Artificial Intelligence (AI) but for those working underground or in control rooms, the real question is more practical: how do these tools actually solve the daily challenges?
For Stewart Johnston, Account Manager - Mine Electrification and Automation at ABB Australia, the key lies in making information usable, timely, and connected across the mining value chain.
In open-pit mining, some of the biggest productivity gains can come not from buying more trucks, but from loading the ones you have with greater precision.
