Machine learning (ML) is one of the most transformative technologies we will encounter in our generation. With the value chain becoming more digitized, the mining industry is on a pathway to harness this capability to increase productivity, lower costs, improve safety and sustain operations. Our panel of experts from the AWS Partner Network will discuss how their businesses are geared to support miners pioneer digital advancements in industrial environments, by leveraging Amazon innovations and advancements in technology to accelerate their digital maturity.

•    Machine learning makes sense of big data with fast, reliable modelling outcomes, but what does it mean for the organisations and people who use it? 
•    Understanding how we balance the automation that digitalisation delivers with the control that mining professionals seek to retain? 
•    Unravelling insights around a collaborative platform to host “stranded IP” and other machine learning applications target the challenges of commercialising research in the mining industry

Regardless of where you are in your network and edge transformation journey, Intel can help you build cutting-edge IoT solutions, deploy them seamlessly, and scale broadly across verticals and use cases.

•    Understanding how to build high-performing DataOps and data science teams from the ground up in the mining  
     o    Looking at who and how to hire?
•    Accelerating analytics and data science outcomes by creating pods of subject matter experts and data specialists
•    Harnessing data analytics to help improve safety, operational efficiency, and automation in underground mines.
     o    Context, context, context, a multidisciplinary approach 
     o    Assessing the right data, right place, and right time for decision-making
     o    Power of time series analytics and tools 

•    Discussing the role and importance of effective team collaborations 
•    Solving day-to-day challenges 
•    Looking at the main challenges and how to solve them
•    Looking at real-life success stories

•    Advanced Analytics in Mining Industry; Challenges
•    Advanced Analytics in Mining Industry; Opportunities
•    Mining 4.0; Critical Steps
•    Analytics Maturity Challenge & Recommended Solution
•    Maturity Assessment; A Case Study

•    Developing in-house VS Buying 
•    Looking at the latest technologies out there
•    Assessing the Role of Technology and Innovation in the machine learning ecosystem 
•    Discussing what is beyond machine learning and assessing the next steps for the industry

•    Assessing pros and cons of inhouse R&D vs buying from third parties
•    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

•    Exploring what innovations and new technologies in electric vehicles are currently on the market
•    Debating the current maturity level of electrification technology for mining 
•    Understanding what kind of technologies the industry has and will be looking for moving forward
•    Assessing practical challenges in the electrification transition and what kind of technology is needed to solve these challenges
•    Looking at what we can learn from other industries
•    Evaluating possible collaboration opportunities 

•    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

•    Assessing where things are at now with mining emergency services teams 
•    Looking at the specific case study of robotic firefighting units  
•    Discussing the next steps with the introduction of robotics into emergency services and other mining applications

•    Understanding the Human systems integration and a total system approach 
•    Assessing the Human factors – Considerations of task design, skills, and wellbeing 
•    Discussing the usage of technology and data as an opportunity for optimisation

The presentation will cover a new approach for mine-to-market real-time optimization across mining value chains called a mining complex is proposed in this research.
•    Understanding how the value modelling is performed to identify key economic factors where potential bottlenecks are critically reviewed and analysed 
•    Looking at how the formulation is developed to optimize the cut-off grades using option analysis while optimizing the key performance indicators including innovations and future mining challenges 
•    Debating the idea to maximize throughputs across the value chains and process profitable ore blocks over the life of Mine (LOM)  
•    Unravelling the cost-effective sustainable solutions introduced in this research also minimize CO2 emissions through alternate energy sources. Total cost of ownership (TCO) analysis and optimized NPVs will be decisive in this research.

•    Assessing key strategies to keeping your data accurate and up to date
•    Understanding how to keep your data safe and secure
•    Debating whether we should be sharing our data more or less
•    Looking at security issues and cybersecurity solutions

•    Understanding how this device can predict and prevent Cognitive Fatigue and Heat Stress 
•    Quantifying Cognitive Fatigue and Heat Stress 
•    Assessing how to measure Cognitive Fatigue and Heat Stress of an individual 
•    Looking at actionable insights in Real-time 
•    Change management for the digital mine 

·    Exploring the Tempest Minerals case study 
·    The importance of strategic partnerships and collaborations between technology providers
·    Discussion the challenges and integration of multiple technologies into the current workflow
·    Looking at the resultant discovery at the Meleya Project 

Machine operator performance is historically managed through average group feedback.  At the individual level, the inability to self-regulate performance, low incentive to improve and for some mental anxiety from missed team goals.  You have no idea whether you are part of the problem or part of the solution.

Traditional personalised feedback is problem focused, negative and demotivating.
By focussing on individual performance relative to the group through gamification, built on AI and trusted big data sets, operators have their best days at work, with personalised scorecards and automated improvement coaching.

·    Create trusted personalised metrics which mean something to individual and that they can significantly influence by changing their behaviour,
·    Present gaps in performance as opportunities with clear instructions on how to improve, and
·    Closed loop feedback driving positive motivations and rewarding positive behaviours
 

•    Assessing the key gaps moving toward fully autonomous systems for mineral processing  
•    Methods for inferring parameters which are practically hard to measure  
•    How to enhance reliability of the input data control systems to move toward trustable control systems

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

• Roundtable 1: Discussing the challenges and opportunities of building technology in-house
• Roundtable 2: Attracting talent – Debating how the industry can reinvent itself to attract the next generation of professionals
• Roundtable 3: Producing quality data - Best Practices
• Roundtable 4: Developing the value and supply chain of the future through Machine Learning 

Presented by Roundtable Leaders 

•    Assessing what options are available and what is currently being deployed  
•    Discussing the importance of industry collaborations to achieve desired scaling up objectives   
•    Debating what kind of technologies are scalable   
•    Looking at real-life case studies and best practices

•    Understanding the specific threats to mining  
•    Latest updates on SOCI and its implications for the industry 
•    Looking at “Digital Trust” and how to increase trust in the digital innovation 
•    Debating how to create stronger barriers in addition to being compliant  
•    Best practices and real-life case studies

•    Driving an advanced tech ready workforce 
•    The importance of collaboration and colocation 
•    Global markets for local capability

Words like unprecedented, disruption, and transformation seem almost like part of every meeting we attend. But what does it take to dance with disruption, transform digitally, or run a business during unprecedented times? 

Better data? More data? More software? New skills? All of the above? 

Maybe blockchain is what we need? What about AI? 
 

Well, the dot.com boom was over 20 years ago. As consumers, we are truly digital. Addicted to TikTok, pissed off by Twitter, embarrassed by LinkedIn. iPhone vs Android, Mac vs Windows. SAP is everywhere. Wikipedia is amazing. 

What more do we want? 

We seem to be digital through and through, yet none of us can say mining is doing digital well.  
 

The reason for this discrepancy, between our very digital lives and the lack of results in our businesses, is management. Mining, probably more than any other industry, is managed using principles established decades ago. 

We need new management.  

•    The Training Centre transforms end-user mining operations by optimising and integrating each process of the mining value chain. 
•    20 organisations working in collaboration to produce world-leading outcomes.
•    Producing future leaders in advanced sensors and data analytics for complex resources. 
•    Translating research outcomes into industry-ready applications.

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

• Roundtable 1: Keeping up with the technology - Developing and improving your team 
• Roundtable 2: Attracting talent – Debating how the industry can reinvent itself to attract the next generation of professionals 

Presented by Roundtable Leaders