mining automation
Unlocking up to 70 per cent faster mine planning cycles and millions in additional project value is now within reach for operations that combine centralised data systems, virtual twins and advanced optimisation engines.
The future of mining is already here - and it’s being shaped by AI systems that can think, act and integrate seamlessly with the tools you already use.
What do Formula 1 racing and tailings storage have in common? More than you’d think - especially when AI joins the engineering crew.
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.
Sensor-based sorting is no longer just a niche preconcentration step - it’s fast becoming a critical pillar of intelligent gold processing.
AI can transform mining operations, but as Dr Penny Stewart warns, its real value will only be unlocked if the technology is transparent, tested and trusted.
In an industry where every unscheduled shutdown translates into lost revenue, wasted resources and mounting frustration, one company is making a compelling case for using artificial intelligence to turn maintenance from a cost centre into a strategic advantage.
The mining industry’s next leap won’t be powered by bigger trucks or more data, but by intelligent systems built to adapt, anticipate and thrive in uncertainty.
In the mining world, where uptime is profit and safety is paramount, innovations that reduce risk while boosting operational efficiency are prized.
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.
