Miners need to take driver's seat with machine learning

MINING companies are starting to use machine learning-powered applications to augment their workers’ output and change how work is done. However, there needs to be more investment by mining companies in implementing these systems to transform the human-machine work relationship, according to a report by Accenture.

Miners need to take driver's seat with machine learning Miners need to take driver's seat with machine learning Miners need to take driver's seat with machine learning Miners need to take driver's seat with machine learning Miners need to take driver's seat with machine learning

Miners can get themselves into the box seat to drive machine learning.

Machine learning is a subset of artificial intelligence that often uses statistical techniques to give computers the ability to "learn" with data, without being explicitly programed.

There has been a lot of experimentation and proof of concept work in Australia yet little in terms of industrialised applications as the sector struggles in moving machine learning from concept and proof of concept through pilot stage and final full integration, according to Accenture ANZ Resources Practice managing director Dean Felton.

"Often this is a result of not taking a holistic view to the application," he told Australia's Mining Monthly.

"That is both the people side and the business process side that need to brought along with the machine learning application. O...