AI Factory for Mining

Purpose and goal:

The ongoing digitalisation and implementation of Artificial Intelligence (AI) technologies in mining industry is highly dependent on availability and accessibility of data for a geographically distributed system. AI Factory for Mining (AIF/M) aims to facilitate this by providing a platform for data and model sharing.

Expected results and effects:

The outcomes from the feasibility study, i.e. 23 identified use cases, 1 demonstrator, and a roadmap for the further development and implementation, are aligned with the overall goal of the project. These results clearly show the relevance of the concept of AIF/M.

It can be concluded that the Phase I of the project has successfully achieved the overall project objective, and beyond that. The roadmap from the Phase I of AIF/M strengthens the relevance of AIF/M for the mining sector and provides a handrail to the future! Approach and implementation:

The research methodology applied in the project has mainly be based on literature study, structured and semi-structured interviews, workshops, and demonstrator development. For the need-identification related to individual use case a so called As-Is/To-Be analysis has been conducted.

Due to the ongoing pandemic, Covid-19, a fully digital approach and platform for collaboration and cooperation has been used during the execution of the project.