MineScape 2026 serves coal and stratigraphic deposits, blending geological modelling with surface and underground design, tactical and long-range scheduling, and drone surveying to boost productivity and cut costs.

Industry summits highlighted policy signals around RMB internationalization, cross-border financial services, and the use of AI and blockchain in fixed income issuance, trading, and risk management.

A focus on data integrity, interoperability, and partnerships with tech providers aims to accelerate AI, drone, and digital twin capabilities while addressing data integration challenges.

Datamine unveils MineScape 2026, an AI-driven, integrated digital twin platform that links geological modeling, mine planning, scheduling, and simulation into a real-time execution solution.

The Digital Twin continuously updates a dynamic replica of mining operations to test strategies, quantify risk, and optimize plans before field execution for safer operations and higher decision confidence.

The platform aims for seamless data flow from design through scheduling and simulation, reducing rework and delivering execution-ready workflows.

The platform aims to reduce unplanned work, enable faster decision-making, and lower costs by unifying workflows and offering execution-ready planning and simulation.

AI integration enables natural language interaction and context-aware guidance via components like a Smart Chat Assistant, File Analyzer, Command Executor, and MPL Expert, with safeguards to protect PII and prevent training on customer data.

The four AI components—Smart Chat Assistant, File Analyzer, Command Executor, and MPL Expert—support MineScape Process Logic code generation, interpretation, and explanation, while ensuring data privacy and non-use of customer data for AI training.

An upcoming MineScape User Conference in April 2026 is a key milestone to validate adoption, showcase case studies, drive peer advocacy, and identify usability barriers.

Datamine provides the MineScape product page and press contacts for further information and inquiries.

Risks include an industry skills gap, integration complexity, onboarding challenges, and the need for robust IoT networks to unlock full platform potential.