•    Understanding the technology behind the revolutionary changes in autonomous mining 
•    Debating the long-term sustainment of these technologies
•    Discussing possible future developments

•    Assessing pros and cons of inhouse R&D vs buying from third parties
•    Looking at the newest technologies and other practical solutions
•    Uniting technology a 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 the internal process from start to completion 
•    Exploring challenges and opportunities along the way
•    Understanding the importance of partnerships 
•    What could I have done differently then, if I had known what I know now
•    Assessing scaling up opportunities
•    Debating possible future developments and opportunities

•    Assessing the role and importance of enabling digital transformation initiatives such as Autonomous Mining
•    Understanding why providing real-time data for analytics is the key to success
•    Looking into the importance of monitoring the infrastructure and dynamically to mine plan changes
•    Debating the importance of integrating this kind of solution into the overall company strategy

•    The evolution of data capture technology is enabling rich information to be collected faster and more regularly
•    Automating the process to capture spatial data reduces the risk and workload for personnel, and enables increased consistency, speed, and frequency
•    Autonomous data capture technology could fundamentally change the way mines are planned and operated.
•    The digital mine of the future that could potentially be fully mapped in a day and monitored in real-time

•    Exploring the increasingly common operative automated production zones in underground mines around the world
•    Solving safety hurdles deriving from the performance of secondary tasks such as roadway maintenance and secondary reduction
•    Looking at the successful deployment of machines which integrate with 3rd party automation zone safety and traffic management systems
•    Assessing and debating the next steps to realise an interoperable automation environment

•    Understanding the importance of internal organization 
•    Assessing the right strategies and key success factors
•    Looking at how to solve possible hurdles along the way  
•    Converting underground operators to monitoring technicians 
•    Debating risk management and best practices

•    Understanding when and if an organization is ready 
•    Raising awareness and key strategies to communicate the benefits internally
•    Assessing what can be done to align different business units
•    Debating where machine learning is mostly needed and why

•    Building in-house VS Buying - Understanding the challenges and opportunities and what is the right strategy for you
•    Looking at the latest technologies out there
•    Assessing the role of Technology and Innovation in the machine learning ecosystem 
•    Discussing what’s beyond machine learning and assessing next steps for the industry
•    The importance of investing in R&D

•    Understanding how machine learning and predictive maintenance work together
•    Discovering how to apply various advanced machine learning methods for predictive maintenance
•    Looking at a real life case study and application on water-cool panel elements

•    Understanding the challenges that complex structural deposits pose for autonomous block modelling
•    An unsupervised machine learning method is developed that can automatically quantify 3D, local trends (anisotropy) in multi-attribute drilling data
•    Demonstrate pairing of the local trend information with anisotropic block estimations and locally adaptive agglomerative clustering, to generate single attribute and multi-attribute domain proxies. 
•    Explore the workflow as a reliable, autonomous geologic modelling system that can adapt to the complexities of varied geologic scenarios.

•    Data Science and Machine Learning to accurately predict the impacts of future-forecast weather on potash recovery processes.  
•    Fostering a culture of innovation.
•    Convergence and collaboration across various functions – IDS (IT), OT, Operations, and Cyber Security. 
•    Pilot-driven approach to value creation, based on measurable business outcomes. 
•    An eye to the future – from prediction to automation.

•    Understanding how advanced analytics can improve the efficiency of the value chain
•    Getting a holistic view of the value chain through data
•    Getting to grips with the challenges and opportunities of this approach

•    Understanding the model and application areas
•    Gathering data through the metaverse to understand behaviour, culture, and HR transformations
•    Challenges and opportunities

•    Understanding the major differences between these two technologies in the transformation process from existing fossil fuel-based fleets into electric mines
•    Exploring and showcasing existing methods to enhance knowledge of performance differences between the two technologies
•    Looking at and discussing the outcomes of these tests 
•    Debating possible future developments

•    Understanding the challenges and opportunities
•    Exploring battery electric vehicle guidelines
•    Debating where things are heading
•    Looking at the technology behind 

Next Generation Manufacturing Canada (NGen), Canada's advanced manufacturing Global Innovation Cluster, announced $76 million in funding for collaborative R&D projects to develop next-generation EV manufacturing, systems, components, and batteries - including innovations to accelerate the transformation of critical minerals and metals.  This session will provide an overview of these projects, along with opportunities to tap into NGen funding and resources to collaboratively develop, commercialize, and scale-up next-generation advanced manufacturing innovations.

The security level is different from security maturity. The former is a technical statement describing how secure your facility is; the latter is a way to audit what you need and what you have to determine where you need to increase your security level. In some cases, it may be that little or no security is needed for certain applications.  This session will give you a deep dive into:

•    The SMM structure, including domains and subdomains
•    The practices that you can apply to improve security levels, identify gaps, and address them