•    Exploring the journey taken by Compass Minerals Goderich Mine to identify, select and implement a downtime tracking tool
•    Understanding how the structured and automated approach to downtime tracking has revealed tangible benefits
•    Reviewing the main features and functionality of RtDUET and how it can facilitate digital transformation
 

•    Evaluating implementation and deployment challenges and exploring strategies to overcome them 
•    Drawing lessons learned from both approaches 
•    Analyzing the cost and return on investment (ROI)

•    Exploring the synergy and integration for optimising plant operations in the mineral processing industry
•    Utilise AI for predictive analytics to analyse real-time data and historical records for accurate predictions and improved production scheduling 
•    Leveraging AI-driven fault detection to identify anomalies, detect potential faults, and prevent equipment failures in mineral processing plants
•    Developing AI-based decision support systems that provide real-time insights and recommendations for optimising operational decisions and enhancing productivity and profitability
•    Highlight the importance of seamless integration and collaboration between Information Technology (IT) and Operational Technology (OT) systems 

•    Understanding the concept and its functionality
•    Exploring possible application areas in mining
•    Addressing privacy concerns in the industry 
•    Learning from lessons in other industries and looking towards to future  

A retrospective journey through our collective technological transformation.  From our analog origins, through the digital revolution and beyond to autonomous technology: exploring how our technological present and future can aid heavy industry with enhancing business operations and maximizing resiliency. 

•    Deploying machine learning models and AI across the mining value chain 
•    Understanding the concerns and fears of AI within your organisation
•    Addressing how individuals can adapt to changes in their roles due to AI deployment
•    Fostering a positive mindset towards AI integration
•    Debating strategies to make AI more accessible and understandable 
 

•    Assessing challenges in data collection and transmission and effective strategies to overcome them 
•    Debating data sharing hurdles
•    Examining data transmission costs and discussing methods to reduce them
•    Exploring techniques to filter and make the most of your data
•    Understanding the optimal timing for data collection

•    Torex has 6 Strategic Pillars, two of which are focused on Excellence in ESG, and Disciplined Growth through Capital Allocation.
•    To achieve these strategic objectives Torex takes a Systems Leadership Approach to digitalization, by first understanding its processes.
•    Programs like the Smart Cap Fatigue Management Program, and The Incident & Inspection Management System Mobile Notification App are two examples of Digital Transformation in action.
•    The 8.4 MWp Solar Plant EPCM Project is another initiative where achieving excellence in ESG through the use of technology will allow Torex to reduce its Scope I & II emissions by about 5%

•    Understanding the challenges that the industry is facing and strategies to address them
•    Looking at the financial aspect and assessing the role and importance of investors in this process
•    Exploring the intersection of technology and Environmental, Social, and Governance (ESG) requirements 
•    Debating the maturation timeline for technology adoption
•    Understanding how technology can enhance transparency in the supply and value chain   
•    Discussing the mining industry’s role in the decarbonization ecosystem
•    Utilizing technology to accelerate positive outcomes  
•    Harnessing the potential of a circular economy in the mining ecosystem  

•    Discovering the background and scope of the project 
•    Understanding the challenges and how they were tackled 
•    Next steps and lessons learned

•    Discovering the available technologies for mine closure
•    Improving land management, sinkhole, and groundwater remediation
•    Debating mine closure challenges and exploring strategies to overcome them

•    Understanding that it is and what it means for the industry 
•    Outlining the timeline and pathway to realization 
•    Identifying implementation challenges and discussing potential solutions 
 

•    Rising labour costs, increasing safety and efficiency requirements
•    Digital transformation of video-enabled communications, remote operations, asset and worker safety applications, HVAC control and monitoring
•    Scalability, flexibility and reliability
•    Private connectivity (IOT/OT) and Public connectivity (IT/tablets/smartphones)

•    Improving cyber resilience across the mining value chain 
•    Understanding the application and added value of AI in cybersecurity 
•    Debating potential risks and how to avoid them 
•    Discussing how to prepare your team for a potential attack

•    Understanding the challenges and how to tackle them  
•    Discussing modernization and digitization strategies in depth
•    Examining the underlying technology
•    Discussing smaller fleet sizes and the efficiency gains
•    Debating the next steps and future directions
•    Addressing data sharing issues 
•    Improving interoperability and technology integration

•    Understand how digitization disrupts and shapes the future of the mining sector. 
•    Learn about the possibilities of IoT technologies and their implications. 
•    Explore how digitization can be achieved on complex mining and underground sites through the use of basic prerequisite – lights. 
•    Discover a wide range of hypothetical IoT solutions for the mine site of the future if the barrier to IIOT technologies could be removed:
     o    Personnel locating to send help directly to those in need 
     o    Weather / Critical Alerts 
     o     Asset tracking to instantly locate equipment on-site
     o     Machine condition monitoring 
     o    An array of sensors to monitor noise, pollution, air quality, and other conditions in real-time

•    Understanding how this can improve remote mining operations 
•    Looking at the application of augmented reality
•    Exploring application areas across the value chain
•    Discussing challenges and opportunities for the industry
•    Understanding the next steps 

•    Understanding the utilized subject-matter-expert knowledge to define and build KPI analytics and Power BI reports around ASARCO's mining operations, with a focus on operational productivity, maintenance, and fleet management
•    Exploring the reports that have given critical and timely insights into mining operations, allowing the team to make data-driven decisions to optimize
•    Looking at analytics around performance metrics, issue identification, and continuous improvement, and how it has allowed ASARCO to pinpoint issues and address them quickly
•    The reports are dynamic and allow users to view the report data by equipment, manufacturer, operator, crew, and date 

•    Exploring the underlying technology
•    Identifying implementation hurdles and discussing how to overcome them
•    Discussing other challenges associated with predictive maintenance in mining operations
 

•    Overviewing the project and understanding the background and problem statement
•    Looking at the methodology
•    Understanding the system implementation
•    Examining the applied technologies, trial and optimization
•    Debating the outcome and discussing future developments
 

•    Digitizing & georeferencing maps into searchable GIS data with novel AI
•    Extracting critical data from report and press release tables and text with NLP
•    Leveraging public data for customized proprietary solutions
•    Exploring the US GeoFramework and other project drivers
•    Potential impact for mineral exploration and the mining industry

•    Discussing the practical importance of stochastic optimization in mineral supply/value chains
•    Presenting mining complexes, recent advances, and future developments
•    Integrating machine learning with optimization in mining
•    Introducing data-driven hyper-heuristics for decision-making
•    Demonstrated significant improvements in efficiency and value 

The roundtable discussions will give you greater networking opportunities and the chance to take a deep dive into topics that concern you the most.   
 
•    Implementation of digital technologies in mining – Lessons Learned 
•    Discussing the creation of industry standards for data
•    Assessing the importance of innovative leadership 
•    Demystifying predictive maintenance 

•    Highlighting the importance of strategic partnerships 
•    Exploring mixed fleet operations – Challenges and Opportunities  
•    Going beyond mobile equipment 
•    Discussing safety, access control, integrated operations, and other types of interoperability
•    Understanding how to tackle the challenges   
•    Defying data requirements and looking at the technology behind    
•    Debating the next steps and where the industry in heading  
 

•    Looking and understanding available technologies 
•    Looking at best practices 
•    Building the fully automated mine
•    Prioritizing on-site safety 

•    Overviewing collision avoidance system technology
•    Understanding the limitations of technology in the mining environment
•    Exploring vehicle interaction safety best practices in mining
•    Leveraging technology to improve vehicle interactions

•    Debating how to change the mindset for real change 
•    Discussing the other spectrum of diversity 
•    Integrating technology and innovation to boost D&I efforts  
 

•    Powerful external factors will force change. 
•    The decarbonization snowball – Producing more with less, especially less GHG. 
•    New technologies will address the changing workspace. 
•    Building a technology foundation that will ensure miners are ready for the change. 
•    The Mining & Metals digital thread – integration across the value chain and across the lifecycle. 
•    Mining & Metals in the 22nd century – driven by advanced data and technology, not brute force. 

•    A stochastic optimization framework has been developed that simultaneously optimizes long-term production schedules in mining complexes
•    The optimization framework integrates waste management and progressive reclamation considerations into the mine planning process, leading to improved ESG performance.
•    A case study demonstrates a significant 52.5% reduction in the risk of acid rock drainage in waste dump facilities, showcasing the framework's effectiveness in mitigating environmental hazards.

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

•    Addressing climate change concerns in mining 
•    Alternative fuel solutions
•    Discussing pros and cons of automation zones
•    Exploring the future of mixed fleet operations