Application of data analytics using artificial intelligence in the field of underground mines using data driven prospects
International Journal of Development Research
Application of data analytics using artificial intelligence in the field of underground mines using data driven prospects
Received 17th November, 2017; Received in revised form 10th December, 2017; Accepted 23rd January, 2018; Published online 28th February, 2018
Copyright © 2018, Amar Nath Singh and Prasanna Kumar Sahoo. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The field of machine learning and artificial intelligence (ML/AI) is rapidly evolving today and slowly beginning to reshape the mining sector. With the mining machinery becoming larger and equipment more sophisticated, the sector can gain immensely from these advanced technologies in terms of operational efficiency and ramping down costs. ML/AI is a field of computer study that deals with the creation of intelligent machines that work and reacts like humans. It covers a wide spectrum from speech recognition and visual perception up to language translations and decision-making, which normally require human intelligence. ML algorithms and AI is considered the next step for digital mine transformation. AI can be successfully leveraged at different stages of mining to identify and unlock potential use cases. From the prospecting and exploration stage to the actual mining process, AI and analytics can be used in multiple ways.
