• The key digital trends reshaping Australia's mining industry
• How leading operators are leveraging AI, automation and advanced analytics
• Balancing innovation with operational realities and workforce adoption
• Emerging technologies expected to define the next decade of mining
• Strategic priorities for building a connected and intelligent mine

• Aligning AI investments with long-term business strategy
• Creating an organisational culture that embraces innovation
• Balancing operational performance with digital transformation
• Developing the leadership capabilities required for an AI-driven future
• Lessons from enterprise-wide transformation programmes

• Moving beyond isolated proofs of concept
• Building trusted data and digital foundations
• Overcoming organisational barriers to scale
• Demonstrating measurable operational value
• Lessons learned from enterprise AI deployment

• Accelerating target generation through AI and advanced analytics
• Combining geological, geophysical and geochemical datasets
• Reducing exploration risk through probabilistic modelling
• Moving from intuition to data-driven exploration decisions
• Real-world examples of AI supporting discovery success

• Breaking down data silos across mining operations
• Improving data quality to enable trusted AI
• Transforming operational data into real-time insights
• Building scalable data platforms for future growth
• Transforming data into measurable business outcomes

• Predicting equipment failures before they occur
• Combining operational and maintenance datasets
• Reducing unplanned downtime
• Prioritising maintenance through AI-driven insights
• Measuring ROI from predictive maintenance programmes

• Accelerating innovation through industry collaboration
• Supporting AI adoption across the sector
• Developing the future digital workforce
• Strengthening Australia's mining technology leadership
• Creating an ecosystem that accelerates innovation

• Creating successful collaborations between miners and technology providers
• Moving beyond proof-of-concept projects
• Aligning innovation with operational priorities
• Sharing data securely across organisations and technology ecosystems
• Accelerating technology adoption

• Using digital twins to optimise mine planning
• Integrating real-time operational data
• Supporting predictive and scenario-based decision-making
• Improving collaboration across functions
• Scaling digital twins across mining operations

• Developing governance for operational AI
• Managing explainability and accountability
• Balancing automation with human expertise
• Building workforce confidence in AI
• Preparing for future regulation

Participants can join the round table of their choice. Each roundtable leader will spend the first 10 minutes on a case study, lessons learned, or industry update. This will be followed by a 30-minute open discussion with all participants, moderated by the leader. The final 5 minutes will be used to identify 3-5 industry recommendations resulting from the group discussion. Key recommendations will be shared with the entire audience, and all roundtable recommendations will be included in the post-event report. 

• Scaling AI Beyond the Pilot Phase: Turning Innovation into Enterprise Value
• Building Trusted Data Foundations for the Intelligent Mine
• Securing the Connected Mine: Cybersecurity & Operational Technology
• Preparing the Workforce for the AI Era: Driving Adoption and Change
• Demonstrating ROI: Measuring the Business Value of AI & Digital Investments
• AI Governance & Responsible Innovation: Building Trust in Operational AI
• The Roadmap to the Autonomous Mine: What's Still Missing?
• Partnering for Innovation: Collaborating with Startups, OEMs & Technology Providers

• Strengthening connectivity across remote mining operations
• Enabling AI, automation and autonomous equipment through resilient infrastructure
• Balancing cloud, edge computing and on-site intelligence
• Overcoming communications challenges in complex mining environments
• Building the digital foundations for the next generation of mining

• Prioritising AI initiatives that deliver measurable operational outcomes
• Lessons from successfully scaling AI across multiple sites
• Balancing quick wins with long-term transformation strategies
• Embedding AI into day-to-day operational decision-making
• Where mining companies should focus investment over the next five years

• Protecting operational technology without disrupting production
• Managing cyber risk across increasingly connected mine sites
• Securing AI, automation and autonomous systems
• Building resilience against emerging cyber threats
• Creating cyber-ready operations for the intelligent mine

• Five emerging technology companies presenting breakthrough mining solutions
• Practical applications of AI, robotics, machine vision and digital twins
• Early deployment results and customer success stories
• How startups are solving long-standing operational challenges
• Connecting miners with the next generation of technology innovators

• Combining robotics, AI and computer vision to automate physical tasks
• Improving safety through intelligent inspection and monitoring
• Human-robot collaboration across mining operations
• Real-world deployment experiences from early adopters
• The future role of intelligent robotics across the mine site

• Combining AI with advanced process control to improve plant performance
• Using real-time operational data to maximise throughput and recovery
• Building operator trust in AI-driven recommendations
• Measuring operational and financial improvements
• The future of autonomous mineral processing

• Understanding the workforce implications of increasing autonomy
• Managing organisational change alongside technological innovation
• Building trust in AI-enabled operations
• Addressing ethics, governance and responsible innovation
• Preparing communities and employees for the autonomous mine

• Building resilient communications infrastructure
• Leveraging edge computing for real-time decision-making
• Supporting autonomous fleets through connected operations
• Managing bandwidth, latency and cybersecurity
• Lessons learned from deploying connectivity at scale

Session to be Outlined

• Building compelling business cases for AI investments
• Selecting KPIs that matter to executive leadership
• Scaling successful initiatives while avoiding common pitfalls
• Aligning digital investments with strategic objectives
• Lessons from organisations delivering measurable business value

• The convergence of AI, autonomy, robotics and advanced analytics
• How intelligent mines will reshape productivity, sustainability and safety
• The future skills required for AI-enabled operations
• Strategic priorities for remaining competitive in a rapidly changing industry
• A roadmap towards the fully autonomous mine