Cloud technology and machine learning are driving forces behind technological disruption affecting every organisation, making it critical to businesses’ efforts to transform and innovate at speed. Machine learning is no longer a niche in the tech world. It’s a core technology which can be seamlessly integrated into just about any organisation, and a source of competitive advantage across all industries.
In this executive webinar, Amazon Web Services, KPMG in collaboration with the Curtin University and Western Australian School of Mines share insights on the potential application of machine learning in the resources sector, and demonstrate the power of machine learning to reduce costs, drive efficiency, and improve safety. This session explores the current research and insights into the future of the resource sector and its workforce in an AI enabled environment. In addition KPMG and AWS showcase the potential of ML to achieve hours of potential efficiency. Specifically focusing on strategic capability to reduce costs, optimise production and improve safety outcomes across operations through the rapid development of ML models. We explore the best practices in implementing machine learning models within organisations across many industries as well as the key steps you can take to start your machine learning journey.
This session is well suited to those in operations, asset management, technology, human resource, risk, health and safety and/or finance functions in the resources sectors.