Artificial intelligence (AI) has great potential for making operations safer and more productive. This working group aims to identify the current challenges, educate the industry, keep up with the rapid pace of change in this field and define collaborative solutions.
To join the working group and any of its projects, click here.
WHY IT IS IMPORTANT FOR THE MINING INDUSTRY
The mining industry is increasingly using AI as a tool to optimize processes, enhance decision-making, derive value from data and improve safety. Nevertheless, the transition to an AI-enabled mine will look different for every organization and an inadequate implementation may result in:
While AI has many benefits for the industry, it is still very new and there is a lot of work that needs to go into successfully applying it. It therefore requires a robust foundation of planning, research, communication and change management.
ABOUT THE WORKING GROUP
The AI Working Group aims to identify the current challenges within the industry, define long-term collaborative solutions, drive innovation, educate on AI-related concepts and technologies like machine learning, keep up with the rapid advancement of technologies, and share best practices and knowledge. The group is a global network of subject-matter experts, operators, suppliers, leaders from inside and outside the mining industry, and those interested in learning more about applying AI in their operations.
Leverage lessons learned and case study examples from experience applying AI in mining to develop an implementation guideline and develop a roadmap for the industry so that AI applications can be scalable. Click here to read more.
Phase one: develop a guideline for the collection, cleaning, labelling, and curating of open data sets to help the industry test and train their models for a variety of AI applications. Click here to read more.
Select the project that you’re interested on.
Project leaders presented on the last Artificial Intelligence Working Group call on August 11th, and hosted a breakout room to expand on Ethics and Education section on the guideline. Click to learn more about project.
The White Paper identifies background information on AI and its relevance to mining, describes a maturity model that will enable companies to plan their AI strategies, explores the high-level steps for implementing AI and describes some ways in which AI is being applied in mining. Read the white paper here
The mining industry is increasingly using artificial intelligence (AI) as a tool to optimize processes, enhance decision-making, derive value from data, and improve safety. The white paper aims to build a foundation for mining companies that are planning and implementing AI solutions. Click here to watch.
With the mining sector embracing more and more the principles of the industry 4.0, we expect artificial intelligence to be the next revolution in mining. But in data science, between ideas and products there is a long and tortuous road. This presentation will describe how Newtrax has managed to move from ideas to reality for the application of AI technology in mining. Best practices and common traps to avoid will be discussed as well. Click here to watch.
The Global Mining Guideline’s AI in Mining Working Group has begun to work collaboratively with its stakeholders to build the case for open data sets specific to the mining sector for AI development. GMG believes this will enhance the ability to build meaningful solutions for the industry by providing typical data relating to assets or operations for training and testing of models, and allowing all parties to have the ability to benchmark solutions and research more effectively. Click here to watch.
AWS hosts a variety of public datasets that anyone can access for free. Previously, large datasets such as satellite imagery or genomic data have required hours or days to locate, download, customize, and analyze. When data is made publicly available in the cloud, anyone can analyze any volume of data without needing to download or store it themselves. We will look at patterns and anti-patterns to watch out for when looking to work with open data across any domain. Click here to watch.
The GMG Artificial Intelligence Working Group is currently developing an implementation of AI guideline. Its aim is to leverage lessons learned and case study examples from experience applying AI in mining to help overcome the challenges and barriers to entry and to improve adoption of AI, and as a result, boost efficiency in the mining value chain. Click here to watch.
The Industry participants are currently developing a guideline for the collection, cleaning, labelling, and curating of open data sets to help the industry test and train their models for a variety of AI applications. This guideline is the first phase of a broader project to build open data sets relevant to the mining sector. Click here to watch.
Danielle Zyngier, Hatch, presented about uncertainty management strategies for industrial applications. We typically talk about AI focusing on data-driven technologies, but AI isn’t only about data-driven methods. There is a lot to be said about AI based on fundamental models and optimizing them, and that can be combined. What is decision-making under uncertainty? Literature talks about many different methods, but they are used for different things. Click here to watch
Data and AI are better when they are together. Unfortunately most of today’s Internet of Things (IoT), including location tracking, sensing, and industrial control systems, are disparate systems designed and deployed for one-off applications. That means it is very challenging to aggregate and correlate the heterogeneous data from silo-ed IoT systems for real-time situational awareness and early warnings. This webinar will present the geospatial and IoT standards from the Open Geospatial Consortium (OGC). Click here to watch.