•    Exploring the technology that can detect emerging/potential failures within the splices that hold our belts together 
•    Understanding how this can be done in real time at full operational speeds
•    With more than 500km of underground beltways across our line network – Assessing how these belts are the arteries of our underground operations 
•    Eliminating down time through this predictive maintenance technology is critical to increasing production and efficiency while reducing safety-related work exposures

•    Assessing the meaning of dynamic systems thinking 
•    Discussing the use of simulation and machine teaching in business strategy
•    Exploring possible applications to the mining industry
•    Discussing how this is relevant in the future

Discover how the latest digital twin technology for mining operations can support a new visual way of doing work
•    Leveraging and elevating existing reality scan data for simple retention and sharing
•    Improving organizational communication with accurate, real-time information through aggregation and visualization of all existing organizational data
•    Enabling productivity improvements of up to 33% through reduced travel and simplified, unrestricted data access
•    Learning how visual digital twins can be leveraged for mine construction, maintenance, closure and reclamation.

•    Exploring alternative mineral recovery solutions by boosting consistent progress and continuous improvement
•    Identifying the necessary steps throughout the Mining process to optimize mill performance
•    Demoing next-generation technologies and enabling companies the ability to learn from historical data and optimize their mineral recovery 

•    Exploring the journey
     o    Design and Implementation
•    Data and Results: How is it progressing
•    Understanding the benefits and opportunities
•    Future advancement 
     o    Challenges and how to tackle them

•    Assessing how advanced analytics can improve the efficiency of the value chain 
•    Predictive maintenance
•    Understanding why we should be sharing more data and not less
•    Exploring cost-effective and sustainable solutions 
•    Debating challenges and opportunities

•    Understanding the concepts
•    Exploring recent advances and glancing at future developments 
•    Assessing the importance of stochastic optimization in the mineral value chain
•    Looking at practical examples
•    Discussing challenges and how to solve them

•    Understanding RtDUET and how major mining companies use RtDUET to automate the downtime tracking process and uncover hidden opportunities for process improvement
•    Hearing a real-life case study on the clients journey to deploy RtDUET and what value they have seen since implementation
•    Exploring the main features and functionality of RtDUET and how it can facilitate digital transformation
 

•    Lessons learned from the front line
•    Discussing what works, what doesn't and why
•    Addressing the for everyone important solution gaps out there 
•    Assessing the importance of partnerships inside and outside our industry

•    Looking at the objectives, means and targeted business management process
•    Understanding the position and where things are heading 
•    Discussing the scientific literature according to these key concepts as the analysis framework
•    Debating the conclusions

•    Understanding and characterizing the risks
•    Preparing an organization for potential cyber risks
•    Debating how we can build a cyber resilient organization 
•    Looking at the needed tools and technology

•    Understanding the technologies behind – sensors, radars, cameras, lasers, GPS, and much more 
•    Exploring underground VS open pit challenges and how to solve them 
•    Looking at best practices and case studies 

•    Understanding what exactly a digital twin is, and how does it become the interface of the digital mine
•    Exploring why your digital twin must be more than a 3D model and why it must represent the entire operation, from subservice geological simulations, tailing management, and operations to above-ground ore management and cash-converting refining.   
•    Piecing together available systems and solutions that are pushing the boundaries of the mining industry in an era of fast-paced change, increased resource demand, and the pressing need to prove ESG compliance.   

•    Ensuring companies meet their net zero carbon targets
•    Achieving this through fleet optimization 
•    Discussing how simulation can push organizations in the right direction
•    Assessing the role of data and AI

•    Accelerating progress through collaboration
•    Building a talent bench of diverse skill sets 
•    Inspiring the future 

•    Introducing the trend of a shift from reactive to predictive methods of fatigue management 
•    Evaluating the ability of an AI model to predict an individual operator’s fatigue levels 
•    Assessing the AI model's ability to predict microsleeps, lost-time incidents, and other safety impacts of fatigue 
•    Exploring real-world case studies and best-practices surrounding the use of this technology in day-to-day mining operations
 

•    Understanding the challenges that the industry is facing and how to tackle them  
•    Technology and ESG requirements
•    Debating when the technologies will mature for adaption
•    Understanding how technology can boost transparency in the supply and value chain 
•    Discussing how to tackle sustainability from a macroeconomic perspective
•    Utilizing technology to accelerate outcomes
•    Stimulating the talent factory (within organizations and outside) to work on ESG

•    Assessing the importance of h Artificial Intelligence to improve safety in mines
•    Understanding the process and technology behind
•    Assessing where the data comes from and how to process it correctly
•    Understanding how a long-term strategy that includes h Artificial Intelligence can make mine safety protocols and standards more efficient and reduce the overall cost

The roundtable discussions will give you greater networking opportunities and the chance to take a deep dive into topics that concern you the most.  

1. Technology, Diversity & Inclusion
Roundtable Leader: David Armstrong, Senior Director – Business Consulting, Cohesive
2. Integrating Digital Assets with Scope I, II & III Targets
Roundtable Leader: Martin Provencher, Global Industry Principal – Mining, Metals & Materials, AVEVA
3. Next steps in Electrification – Challenges and Opportunities

Each roundtable leader will present their summary on stage.

•    Detecting and highlighting variations in complex geology in real-time through the use of Computer Vision 
•    Enabling operator-assistance during tele-remote mining, with advancements that are making highly-autonomous mining a reality
•    Overcoming scepticism and challenges through collaboration and breaking down silos
•    Discussing lessons learned, and how this use case challenged the organization to use innovation to overcome “impossible problems”
 

•    Understanding the challenges facing the industry and discussing potential solutions 
•    Assessing pros and cons of in-house R&D vs buying from third parties 
•    Addressing interoperability challenges and how to solve them
•    Looking at the newest technologies and other practical solutions 
•    Uniting technology and people - Assessing the human factor in Robotics & Automation. 
•    Discussing how we can collaborate and bring in the community to find the right solutions 

•    Looking at model development and case studies
•    Assessing the role of Change Management for digital solutions
•    Highlighting the importance of feedback-loop
•    Discovering the challenges and next steps of AI implementation

•    Discovering how surgical mining could add up to 30% to production on existing or future conventional operations
•    Learning how data-driven technologies integrate with conventional drilling equipment to unlock narrow vein deposits
•    Seeing the impact of real-time data for better decisions and increased operational flexibility

•    Exploring what mineral traceability is
•    Understanding its importance and why investing in this is important 
•    Discussing traceability and value creation
•    Looking at solutions to bring inbound and outbound traceability

•    Discussing the misconceptions that often hinder the successful translation of Predictive Maintenance initiatives into tangible value
•    Looking at real-world examples and field-proven strategies employed by the leading mining companies 
•    Uncovering the secrets behind transforming Predictive Maintenance initiatives into powerful value drivers 
 

The roundtable discussions will give you greater networking opportunities and the chance to take a deep dive into topics that concern you the most.  

1. Identifying a place for ML and Digitalization - Roundtable Leader: Jeff Armstrong, Director – Industry Solutions, Improving Analytics Inc.
2. Responsible and Trustworthy AI - Roundtable Leader: Zaman Forootan, PhD, Global Leader for AI/ML, Hatch
3. Incorporating an AI Strategy Across the Mining Value Chain - Roundtable Leader: Dr. Shahram Tafazoli, Chief of AI, WEIR Motion Metrics
4. Producing quality data and making the most of it - Best Practices  - Roundtable Leader: Matthew Lindsay, Client Manager, RtTech Software

Each roundtable leader will present their summary on stage.