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Digital transformation is driven by the ability to better connect all aspects of operations to the laboratory – devices, consumables, workflows, data, and people – to increase productivity. To take advantage of these recent advancements and those yet to come, mining organizations need to connect the laboratory and make data accessible to those who need it.

Mining organizations can do more with Laboratory Information Management Systems (LIMS) than just address efficiencies in the laboratory workflow and quality control as a standalone repository. This webinar will discuss how mining organizations are using LIMS software as part of a digital ecosystem to deliver value to process control and business operations.

Presenters

Angela Aplin
Account Manager, Digital Science
Thermo Fisher Scientific
Angela Aplin

Angela Aplin has been with Thermo Fisher Scientific since 2003. Angela's career has been focused on information management and business process improvement, identifying solutions to provide change that demonstrates value to the organisation. Her work at Thermo Fisher Scientific has been involved with implementing enterprise software solutions to support complex processes and business objectives across process industries with an emphasis on mining.

Bruce Reardon
Specialist, Production Systems
Bell Bay Aluminium, Rio Tinto
Bruce Reardon

Bruce Reardon has worked with Rio Tinto for 25 years, starting as an Analytical Chemist. Throughout his career Bruce has used Laboratory Information Management System (LIMS) products and has been working with Thermo Scientific™ SampleManager LIMS™ software since installing it for Bell Bay Aluminium in 1996.

Bruce’s career has since broadened to focus on Manufacturing Execution Systems (MES) as well as other systems that involve databases.  He has interfaced SampleManager LIMS software to both laboratory instruments and other plant systems.  His work includes maintaining SampleManager LIMS software and other MES systems and helping the business maximize the value from the systems and data.

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