Most mining operations know their maintenance model is underperforming. They’re spending 35–50% of annual opex on maintenance, absorbing unplanned downtime that hits production targets and cost-per-tonne directly, and watching AI and predictive initiatives stall before they reach the field.

In this session, Charles Carcenac (Talan) and Mark Crouse (SAP) will share what it actually takes to move from a reactive maintenance posture to a connected, predictive one. And why most organizations that try get stuck in the same three places. You’ll leave with a clear picture of what the better model looks like, what AI makes possible within it, and a realistic first step you can take back to your team.

This session is built for COOs, VPs of Operations, CFOs, and Plant Managers in mining and mineral processing who are under pressure to improve reliability without adding cost. If that’s your situation, register now, this 45 minutes will be worth your time

By the end of this webinar, participants will be able to:

• Understand why predictive maintenance and AI are becoming a strategic priority in mining and asset-intensive industries
• How to identify where AI can create value across the maintenance workflow, from detection to diagnosis, planning, and feedback loops
• How to recognize the data, workflow, and adoption foundations needed to activate smart maintenance successfully