data integration
If you still think “energy recovery” belongs in the sustainability chapter of the annual report, Rockwell Automation would like a quiet word – preferably from inside a control tower humming with AI, digital twins and enough conveyor simulations to make your GPU blush.
As mining companies increasingly operate from hundreds, sometimes thousands, of kilometres away from the pit or plant, one challenge has remained constant – how to give remote teams the same operational context, detail, and situational awareness they’d have if they were standing on site.
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.
As mineral exploration enters an era defined by data complexity and digital transformation, one of the biggest hurdles geoscientists face is not a lack of information, but too much of it.
In a sector awash with smart tech, real-time data and emerging AI capabilities, it's easy to overlook the nuts and bolts of data management.
As the global mining industry continues to adapt to shifting expectations around productivity, sustainability, and cost-efficiency, exploration remains one of the most critical—and complex—phases in the mining life cycle.
