AI, DATA AND TECHNOLOGY IN MINING (IMARC TASTER)



KEY DETAILS
Dates: 30th October, 2019
Location: The Hub @ Docklands, Melbourne
Time: 1:30pm-4:30pm




WHO SHOULD ATTEND
The masterclass is designed for people working in the mining/METS sector with a basic to intermediate level of knowledge about Ai and Data Science.




PROGRAM FEES
$395 +GST
MASTERCLASS OVERVIEW
The Ai, Data and Technology in Mining Masterclass will take you from the application of Ai and automation in exploration, through to mine planning, processing, logistics and HR. The Masterclass provides you with a safe place to touch, feel and experiment with the application of Ai and Machine learning to your discipline. We will help you understand and unlock new capabilities that will be required for career success and performance in the rapidly evolving future of mining.
MASTERCLASS OBJECTIVES
The masterclass is designed to demystify Ai and Data Science by building a fundamental awareness of the terminology and methodologies relevant to the mining sector. Importantly, the Masterclass focuses on the application of Ai and data science with practical case studies and examples across the mining value chain – from exploration to shipping.
MASTERCLASS OUTCOMES
You will;
- Develop a fundamental understanding about Ai and data science within the context of mining;
- Gain a practical understanding on the opportunities to apply Ai and data science across the mining value chain;
- Learn from successful and challenging applications via case examples across commodities and companies;
- Identify a specific pilot opportunity to run a small-scale trial to unlock productivity and performance;
- Experience first-hand how Ai, data science and technology is reshaping mining’s technical disciplines and the required capabilities in exploration to logistics.
- Develop a plan for further learning and capability development in the application of emerging technology and the future of mining
INDUSTRY EXPERT
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BUY NOW
You can either purchase a standalone taster masterclass at $395 or you can choose to bundle them both for the reduced price of $750.
WHAT OUR CUSTOMERS SAY ABOUT US


