Discover practical approaches to integrating AI into QA/QC workflows, including the use of predictive models for material properties such as moisture content to improve accuracy, consistency, and confidence in operational outcomes.

Learn how interpretable AI models can support business-critical decisions, drive stakeholder trust, and demonstrate measurable value in production environments.

Gain insights from firsthand experience deploying AI solutions in mining operations, including lessons learned around data quality, model validation, change management, and the transition from proof of concept to operational adoption.

Understand the challenges, successes, and key considerations when scaling machine learning initiatives from experimentation to practical, day-to-day use within mining organisations.