•    Moving beyond proof-of-concepts to enterprise-wide AI deployment
•    Quantifying ROI: Real metrics from 2+ years of AI implementation
•    Building AI Centers of Excellence within mining organisations
•    Lessons learned from failed AI projects and how to avoid common pitfalls
•    The role of edge computing in real-time AI applications

•    Benchmarking AI adoption across major mining operations
•    Building vs. buying AI solutions - finding the right balance
•    Data governance frameworks that enable AI at scale
•    Integrating AI with existing OT/IT infrastructure
•    Skills gap solutions: Upskilling workforce for AI-powered operations
•    Regulatory compliance and AI transparency requirements

•    From Task to Strategic: Elevating Mining Professionals Through AI 
•    Building Digital Confidence: Closing the Skills Gap Without Leaving Anyone Behind
•    The Internal Innovation Engine: Developing Homegrown AI Talent 
•    Measuring What Matters: AI-Enhanced Performance and Wellbeing 
•    Using predictive analytics to identify training needs, optimise shift patterns, and prevent burnout in remote operations 
 

•    The 75% Accuracy Dilemma: Why maintenance teams won't act on AI predictions without actual failures occurring - exploring the cultural and operational barriers to trusting algorithmic decisions 
•    From "Can We?" to "Should We?": The industry has moved beyond technical capability to fundamental questions of AI trustworthiness - creating frameworks for ethical AI deployment in high-stakes mining operations
•    Pre-trained Models and Black Box Concerns: Addressing transparency requirements when using third-party AI models - balancing competitive advantage with the need for explainable AI 
•    Small Wins Strategy: Building organisational confidence through tangible, quick victories like material delay prediction systems that cold potentially save hours of downtime
 

•    Data Interoperability: Breaking down silos between OEM systems and proprietary formats
•    Industry Standards: Developing mining-specific data frameworks and common protocols
•    Integration Challenges: Managing vendor resistance and IP protection concerns
•    Single Source of Truth: Practical approaches to unified data across supply chain partners
 

•    The Insider Threat Reality: Preparing for both internal threats and external attacks - balancing employee trust with security requirements 
•    Remote Site Vulnerabilities: Unique challenges of distributed workforces with limited on-site personnel and delayed incident response - technology solutions for isolated operations 
•    Legal Complexity of Monitoring: Navigating privacy laws across jurisdictions while maintaining security oversight - creating transparent policies that protect both company and employees 
•    Security as Innovation Enabler: Rebranding security teams from saying "no" to facilitating secure operations - cultural change management strategies that work 
 

1. GenAI in Production - Beyond ChatGPT    
2. Strategic Partnerships vs. Traditional Procurement: The Future of Mining Supply Chains    
3. Autonomous Mining: Promise vs. Reality - When Will We See True ROI?    
4. ESG in Mining: Competitive Advantage or Compliance Burden?    
5. Natural language interfaces for equipment diagnostics

•    The Procurement Puzzle: Do AI solutions fit standard ROI models or department categories - new frameworks for evaluating cross-functional technologies?
•    White Collar Disruption Coming: Predictions of AI eliminating administrative positions while operational roles remain - preparing workforce for fundamental shifts 
•    Big vs. Agile Players: Are some companies "too big" to incentivise innovation - lessons from different organisational scales 
•    Beyond Operational Focus: Industry fixation on tonnage metrics misses serious business process automation opportunities - expanding AI vision beyond production metrics 

•    Phased approach to data standardisation across operations
•    Change management strategies for technical and operational teams
•    Investment requirements and expected ROI timelines
•    Quick wins: Where to start for immediate AI benefits
•    Building internal data governance frameworks that enforce standards

•    Renewable energy integration and smart grid management
•    Battery-electric vs. hydrogen equipment - operational insights
•    AI-optimised energy consumption across operations
•    Carbon capture and utilisation technologies in mining
•    Real-time emissions monitoring and automated reporting

•    Industry-wide protocols for autonomous vehicle communication
•    Managing hybrid fleets: Autonomous and manual equipment integration
•    Cybersecurity frameworks for connected mining equipment
•    Remote operation centers: Lessons from 5 years of implementation
•    Next-generation collision avoidance using AI and V2X technology
 

•    Rail and Port Synchronisation: The Last Mile Challenge 
•    Mixed Fleet Reality: Breaking the 25% Barrier - Overcoming OEM Vendor Lock-in to Enable Full Fleet Remote Operations
•    From Incidental to Intentional: Mining Transport's Hidden Data Gold 
•    Digital Handoffs: Solving the Modal Transition Problem
 

•    Communication strategies when technology fails 
•    Coordinating multi-stakeholder response in the digital age 
•    Real-time monitoring and AI-powered early warning systems
 

•    Two decades of experience showing the transformation of maintenance practices
•    Technology adoption in asset management across different eras
•    Building world-class maintenance organisations
•    Future trends in mining asset management

•    Standardising camera specifications and mounting configurations
•    Common formats for thermal, RGB, and hyperspectral imaging
•    Metadata standards for geological core samples and face mapping
•    Video analytics frameworks for safety and production monitoring
•    Creating labeled datasets for industry-wide AI model training

•    Cloud-native architectures for mining data lakes
•    Real-time data streaming from IoT sensors
•    API-first approaches to system integration
•    Data mesh architectures for decentralised ownership
•    Cost optimisation strategies for massive data volumes

•    Evolution of training roles in digital mining operations
•    Skills required for modern training professionals
•    Building training organisations that support digital transformation
•    Career pathways in technology-enabled training