Abstract
The mining industry is hyper focused on safety, production and sustainability objectives. Technology adoption in advanced analytics, AI and cloud computing has become entrenched in day to day operations, but what's next? Operators and contractors have warehouses full of documentation Regulatory Reports, operational data, Field Level Risk Assessments (FLRAs), JSA's and incident reports. What if you could leverage decades of information to mitigate the risk of a fatality, ensure that each of your workers come home safe or improve operational performance?
The next stage on the digital journey is upon us, Generative AI and large language models are available to support the mining industry unleashing insights and production improvements never thought possible.
This talk will provide a high level overview of Generative AI, a strategic approach to implementation, identifying low risk quick wins and ultimately allowing the audience to conceive the art of the possible in unlocking operational performance and increasing operational safety.
By combining data from existing structured and unstructured data sets with real time analytics and industry based foundation models data engineering is streamlined and allows data stewards to control data along the entirety of the AI lifecycle. As a result all levels of the business have increased access data and the ability to increase insights to improve business and personal performance.