•    Exploring the synergy and integration for optimising plant operations in the mineral processing industry
•    Utilise AI for predictive analytics to analyse real-time data and historical records for accurate predictions and improved production scheduling 
•    Leveraging AI-driven fault detection to identify anomalies, detect potential faults, and prevent equipment failures in mineral processing plants
•    Developing AI-based decision support systems that provide real-time insights and recommendations for optimising operational decisions and enhancing productivity and profitability
•    Highlight the importance of seamless integration and collaboration between Information Technology (IT) and Operational Technology (OT) systems