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.
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.
VIRTUAL MEETING. Upcoming Open Data Sets Project Call on September 28th | 8am-9am EDT | 2pm-3pm (CEST) | 8pm-9pm (AWST) . Click here to register.
PROJECT LATEST UPDATE
Implementation of AI in Mining – Business Call
September 15th | 8pm-9pm (EDT) – 12am-1am (UTC) – 8am-9am (AWST)
Implementation of AI in Mining – Technical Call
October 1st | 8am-9am (EDT) | 12pm-1pm (UTC) | 8pm-9pm (AWST)
Implementation of AI in Mining – Ethics Call
September 23rd | 8am-9am (EDT) | 12pm-1pm (UTC)|– 8pm-9pm (AWST)
Implementation of AI in Mining – Use Cases Call
September 30th | 8pm-9pm (EDT) | 12am-1am (UTC) | 8am-9am (AWST)
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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.