Application of AI to decrease the mine mobile equipment maintenance cost
Ali Soofastaei
Organizer: Mining Innovation Network
Date: 7 – 8 June 2023
Venue: Vancouver, Canada
About Conference
Digitalization and innovation are set to continue to be a top priority for the mining industry globally. Pushed by various factors such as stricter safety requirements, higher production efficiency and cost-saving targets, cybersecurity, supply, and value chain disruptions, decarbonization targets and much more.
Across the three dedicated conferences, Machine Learning in Mining, Robotics & Automation in Mining, and Electrification in Mining, attendees will gain access to key sessions addressing:
Machine Learning, AI, and Data
Cybersecurity, Infrastructure Protection and Connectivity
Automation and Remote Mining Operations
Robotics and Machinery Innovation
Efficiency Across the Mining Value Chain
Electrification of Mine Equipment
Decarbonisation and Technologies for a Net Zero future
Mine Design and Predictive Maintenance
The machine learning track will highlight the importance of machine learning and artificial intelligence (AI) for the mining industry – including helping companies with mineral exploration, site selection, sorting, transportation, and increased safety.
The track will include strategic insights, case studies, technology spotlights and panels. In addition, it will take a deep dive into application areas and explain the benefits of machine learning for your business, new technologies and innovation available, and much more.
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