AI in Mining & Natural Resources

Below is the criteria for Global AI Awards in Mining & Natural Resources category:

1. Design (25%)

• Quality and robustness of system design for exploration, extraction, processing, or resource management.
• Integration with industrial systems (sensors, robotics, GIS, and remote monitoring).
• Safety, reliability, and compliance with environmental and industry regulations.
• Sustainability-focused design—minimizing environmental footprint and optimizing resource use.

2. Impact (35%)

• Demonstrated improvements in efficiency, safety, cost-effectiveness, and sustainability.
• Measurable outcomes such as reduced operational risks, optimized resource recovery, or lower emissions.
• Contribution to workforce safety, environmental conservation, and responsible mining practices.
• Influence on industry transformation toward smarter, cleaner, and more sustainable operations.

3. Creativity (25%)

• Innovative applications of AI in geological modeling, predictive maintenance, exploration analysis, or environmental monitoring.
• Unique problem-solving approaches for real-time decision-making in high-risk environments.
• Pioneering integrations with drones, robotics, or digital twins for automated or remote operations.
• Differentiation from traditional mining and resource management practices.

4. Ease of Use (15%)

• Accessibility for engineers, operators, and decision-makers.
• Intuitive dashboards, predictive analytics, and visualization tools for operational insights.
• Low barriers to adoption across different scales of mining operations (small to large enterprises).
• Training, support, and resources to promote safe and effective implementation.