Description
The integration of AI into mining operations represents a fundamental shift in how we approach safety, productivity, and workforce enablement. Drawing from 15 years experience at Suncor Energy, this presentation outlines the essential building blocks required to successfully transition to an AI-assisted workforce - from initial concept to operational reality. From someone who’s done it.
Establishing AI capability in mining extends far beyond technology procurement. This session explores four critical pillars: culture change, infrastructure readiness, hardware, and data strategy. Culture change begins with leadership commitment and frontline engagement, addressing workforce concerns about job security while demonstrating AI as a tool for enhancing human capability rather than replacement. Infrastructure requirements include robust connectivity, edge computing capabilities, and integration with existing operational technology systems - often the most underestimated challenge in remote mining environments.
Hardware decisions must balance performance, durability, and maintainability in harsh conditions. Through Suncor's deployment examples, attendees will learn practical considerations for establishing a connected workforce at scale.
Data strategy forms the foundation of successful AI implementation. This includes establishing data governance frameworks, creating standardized collection protocols, and developing the internal capability to validate and interpret AI-generated insights. Real examples demonstrate how proper data architecture enables continuous improvement while maintaining safety standards.
The presentation concludes with lessons learned, and a framework for high-level phased deployment that minimizes operational disruption.
This session is designed for mine operators, engineering leaders, and safety professionals seeking evidence-based guidance for AI workforce integration. It less inclined towards IT professionals