Artificial Intelligence in the Mining Industry
Successful Applications of Big Data in the Mining Industry
What are the Future Possibilities: What to Do Next?
Cloud computing and big data technology to rapidly generate and prioritize a large number of mine designs.
Examples of success applying artificial intelligence in exploration geology and the mining sector.
The next evolution in Remote Operating Centers (ROCs).
Applying big data analytical software in the cloud to evaluate the probability of different outcomes and the related financial implications in mining.
Supply chain optimization in mining and related transport and logistics.
Technologies and experience from elsewhere and how to apply to mining.
Sustainable mineral resource development and optimization under uncertainty.
Lessons learned in infrastructure planning applied to mining.
Finding solutions to overcome management and technology challenges from existing, legacy business systems to improve the bottom line.
Recent advances in cloud based, machine learning that can benefit the mining industry.
Minerals processing: a science that can benefit from recent advances in data sciences and related technologies.
New technologies and approaches for miners to explore and develop mining projects.
How asset intensive companies can get the most out of existing information systems.
Using powerful, practical solutions to allow operators to focus on process improvement and asset utilization instead of user training.
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