ERG ‘Year of Digitalisation and AI’: integration lessons for mine engineers
Reviewed by Tom Sullivan
First reported on International Mining – News
30 Second Briefing
Eurasian Resources Group reports that digital tools and in‑house AI across its mines and plants delivered more than $111 million in economic impact in 2025, as it brands 2026 its “Year of Digitalisation and AI”. The group is expanding site connectivity and core IT infrastructure to support proprietary optimisation models for processing plants and mine operations, rather than relying on off‑the‑shelf platforms. For engineers, this signals growing demand for robust OT networks, data governance, and integration of AI models directly into control systems and dispatch.
Technical Brief
- Roll-out hinges on upgraded site fibre and wireless backbones to carry high-frequency OT data.
- Data integration spans concentrators, smelters and mines, enabling cross-site optimisation rather than siloed plant tuning.
- Proprietary models are trained on historical process and fleet datasets, avoiding generic vendor parameter sets.
- Cyber‑security hardening of the new OT/IT interfaces is a stated prerequisite for further AI deployment.
- AI tools are being extended from processing optimisation into maintenance planning, stockpile management and logistics routing.
- Several AI applications have already moved from pilot to full-scale operation.
- For other miners, this approach underlines a shift towards owning algorithms while outsourcing only base infrastructure.
Our Take
Among the 944 Mining stories in our database, only a small subset quantify AI outcomes in dollar terms, so Eurasian Resources Group putting a 2025 economic impact figure on digital tools signals a relatively mature internal value-tracking framework.
For operators watching AI ‘product’ offerings, ERG’s reported 2025 economic impact suggests that off‑the‑shelf solutions are now being tied to hard P&L metrics rather than pilot‑stage KPIs, which will likely raise expectations on vendors in other Projects‑tagged deployments.
With many AI and artificial intelligence keyword‑matched pieces still focused on exploration or planning, ERG’s emphasis on realised economic impact positions it towards the operations‑side of digitalisation, implying that brownfield optimisation is where near‑term returns are currently most visible.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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