As new technologies and systems are adopted in the mining industry, they produce a wider range of data, which is being used for critical decision-making, reducing costs, optimizing processes, forecasting, trend analysis and more. However, the industry is also facing many challenges with integration, interoperability, and the overall management of data.

Key topics:

• Understanding distributed responsibilities (operator, vendor, third party, etc). 
• Cross-functional IoT data integration 
• Autonomous systems and sensor integration 
• Access to and usage of equipment telemetry data/mobile equipment open data
• Good data quality practices (e.g., processing, storage, cleaning) 
• Enabling and applying data-driven decision-making  Establishing a foundation for applying advanced systems 
• Knowledge and education on data fundamentals  
• Human factors (e.g. distractions re. integration challenges) 
• Navigating legal requirements (e.g., ownership, licensing)