New series

Innovation Leaders in Efficiency: Metals & Mining

Our latest report showcases the pioneers that are adopting technology to drive down operational costs.

04 December 2020

Overview

Digital transformation is accelerating. Yet the pace of change is uneven between different sectors. Our new Innovation Leaders report explores how other industries are using an array of ultra-smart technologies to reshape their operations, cut costs and revolutionise their business models.

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Manufacturing

Taking the lead from manufacturing, we share four leading technologies driving down operational costs: industrial internet of things (IIoT), machine learning, automation and robotics, and advanced analytics.

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Aviation

We take inspiration from the aviation industry and explore the four technologies enabling more efficient operations: digital twins, predictive analytics, cloud computing and blockchain.

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Our Innovation Leaders

We showcase our Metals & Mining innovation leaders already using digital innovation for effective, efficient operations.

Contributors

contact-Nicole Lyons

Nicole Lyons

Head of Marketing at Axora

contact-Joe Carr

Joe Carr

Mining Innovation Director

Innovation Leaders in Efficiency: Metals & Mining

Our latest report showcases the pioneers that are adopting technology to drive down operational costs.

04 December 2020

Explore our insights and reports

Article

The power of hydrogen for mining

Dr Daniel Roberts believes that hydrogen could power many energy-hungry operations. But how?

Joe Carr

19 February 2021

Solution

Reducing unplanned mining plant downtime through AI-based predictive maintenance

Metals & Mining

Unplanned downtime is a major issue for throughput. This advanced AI-based predictive maintenance solution can reduce failures, lost production, spare parts use, labour costs, whilst increasing throughput.

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Return on Investment

Article

AI predictive maintenance is the holy grail for mining

What are the biggest challenges facing mining and how important is the right technology in solving these? Find out what Razor Lab’s Mark Majzner has to say.

Joe Carr

23 February 2021

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