•    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
 

•    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 
 

•    Exploring the synergy and integration for optimizing plant operations in the mineral processing industry 
•    Utilize AI for predictive analytics to analyze 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 optimizing 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. 

•    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.

•    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

•    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

•    Discussing the convergence of decarbonization and digitization
•    Exploring the digital tools available on the market
•    Looking at disclosure by explaining upcoming mandator Canadian Sustainability Disclosure Standards 1 & 2
 

•    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)

•    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.

•    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

•    Siemens-Innomotics: One stop shop for digitalization across the mining process lifecycle
•    Combining state-of-the-art automation and digitalization portfolio with technology and process expertise to deliver value
•    Validated use cases for digitalization in Greenfield as well as Brownfield facilities
•    Customer references from the mining industry including the objectives and delivered benefits
 

•    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 

•    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

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. Implementation of digital technologies in mining – Lessons Learned
   David Armstrong, Cohesive
2. Factory Designed & Assembled: Leveraging efficiencies to boost resiliency and reduce cost
   Carsten Baumann, Schneider Electric
3. The value of a data ecosystem to the future of mining
   Glenn Kerkhoff, AVEVA
4. Building data quality into your operations, advanced analytics, and AI 
   Brian Crandall, Aperio    

•    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  
 

•    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  
 

•    Mining industry outlook and trends: the all-electric mine
•    From Electrification to Digitalization
•    Use Case: Energy Management System
•    Energy Management Systems as an enabler of Transparency