Tamryn Barker, CORE Co-Founder and Skills Lead - Keynote Talk at Machine Learning In Mining Conference
CORE is excited to be supporting the upcoming Machine Learning in Mining Conference on the 10 & 11 November in Perth and Online.
CORE Foundation Partner, Unearthed is partnering to present this fantastic new event designed to explore how we can enhance decision-making, improve safety, optimise operations with machine learning.
The first annual Machine Learning in Mining conference will include deep-dive informative case studies from mining companies and METS, as well as technology keynotes and panel sessions, including a fascinating keynote from CORE’s Co-Founder and Skills Lead, Tamryn Barker.
Tamryn is committed to growing a community of world-leading innovators in WA to deliver the ideas, knowledge, culture and skills we need now and into the future. As a founder of CORE Innovation Hub, Australia’s first co-working, collaboration and innovation hub focused on the resources and energy sector, Tamryn has helped create an ecosystem for operators, suppliers, researchers and entrepreneurs to connect, collaborate and upskill on innovative challenges and opportunities. Tamryn is currently focused on growing CORE Skills, which is redefining industry capability pathways for the ‘data fit’ organisation of the future.
What is Data-Fit?
Value through data does not happen in silos - the realisation of value from data flow through an organisation is a critical challenge for all companies moving forward. The ability to define, measure, and uplift organisational data capability - 'data fitness' – is critical.
Data Fitness is a whole-of-organisation concept, with every role having a data capability need. Building a 'Data Fit Organisation' however, is challenging. Studies show that less than 5% of companies' data meets basic quality standards; approximately 60% of company leaders overestimate their company data culture, with the vast majority of leaders being unaware of their organisation's data capability.
It is important, therefore, to determine an industry-ready way to map, assess and improve data capability to support the Data Fit Organisation of the future. Informed by the 'Fitness-To-Operate' safety competency framework developed for the offshore oil & gas industry and in consultation with 20 industry partners and in collaboration with the Future of Work Institute at Curtin University, a Data Fit Organisation model and capability assessment framework has been developed. With a particular focus on integrating 'social' capability, in terms of culture and behaviours, together with process and technology, the framework aims to guide an assessment and insight to lead organisations to 'data fitness.'
The Data Fit Organisation - insights on the framework and examples of how it is changing the roles of workers across mining organisations.
Realising value through data is hard and outcomes can be inconsistent. The technology is getting better but process and capability are still developing. A successful data workflow, one that is embedded in the business, invokes all roles to consistently realise value. It follows then, that all roles and staff need to be ‘data capable’ and demonstrate an understanding of the data workflow. Having an industry framework or shared way to build data capability in support of all roles across an organisation is therefore critical.
The Machine Learning in Mining Conference is happening at the Westin in Perth and Online on the 10 & 11 November.
Register now using CORE30 when purchasing your tickets and get 30% off conference registration.