Cybersecurity
As mining operations push more production data into remote operations centres, cloud platforms and analytics systems, the industry faces a deceptively simple problem: how do you get useful data out of an operational network without creating another pathway back in? Chris Rule, General Manager Defence, Security and Resilience at GME, says the answer starts with knowing exactly how your mine is connected, who has access and which connections genuinely need to work both ways.
AI and automation might reshape the future of mining safety, but Cam Stevens argues the real risk is leaving safety professionals out of the conversation.
The future of mineral exploration may hinge less on drill rigs and more on the quality of the data flowing from them.
A cloud-hosted machine learning model, linked securely to a plant control system, has helped eliminate costly surging in dense medium cyclones - and in one case, safeguarded millions in weekly coal revenue.
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.
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 an era where emerging technologies promise to transform mining operations, from AI-driven optimisation to fully automated systems, the real challenge is not finding the next breakthrough.
In an industry awash with plug-and-play software and AI buzzwords, Oliver “Olly” Willetts, senior geologist and resource estimation consultant at SRK Consulting, stands out for his clear-eyed, problem-first approach to geoscientific data management.
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.
