Safer with Senseye PdM

May 12, 2020

It is tempting when looking at the benefits of introducing predictive maintenance (PdM) technologies to focus on the financial improvements achievable.

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Free-flowing data is fast becoming the chief currency in this smart environment. Even so, data is pointless unless it empowers people to make better business decisions.

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Senseye today announced the launch of Attention Index®, a pioneering technology developed by Senseye and now available within Senseye PdM.

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The UK is one of the world's biggest manufacturing nations. Almost 3 million people work in this industry & deliver almost half of all UK exports.

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The costs of binning faulty products or reworking them can be huge. Senseye can help manufacturers make substantial gains by optimizing both your machinery & your products.

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How can firms running older machines keep up with Industry 4.0 and the smart factories movement? It might be much easier and cheaper than you think, writes Senseye’s Chief Technology Officer, Robert Russell

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Senseye today announced a new alliance with MCP Consulting Group, an asset management consultancy that advises many of the world’s largest manufacturing organisations.

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Manufacturing has long been an industry that places peak performance, operational efficiency and quality targets at the top of their agenda. Leveraging data and the Industrial Internet of Things (IIoT) can support these objectives.

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On February 7th, Senseye will be supporting the Magnet Industry 4.0 Symposium in Port Talbot, Wales, hosted by Tata Steel.

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When changes have threatened the automotive industry, it has always been able to innovate and respond. Predictive Maintenance is the next step.

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Senseye, a provider of predictive maintenance analytics, and Iconsys, the manufacturing systems integrator, today announced a new alliance to help industrial companies boost operational efficiency and profitability using Industry 4.0 technologies.

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Factories are no longer simply a mass of machinery operating as a series of siloed production lines. Instead, manufacturing executives and engineers manage interconnected networks of moving parts, something more akin to a living organism, that can be trained and fine-tuned to optimise performance.

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Smart factories are rapidly becoming the future of manufacturing, offering a new level of efficiency and productivity to those investing in them. Industry 4.0, combined with increasingly sophisticated analytics, is playing a huge role in driving the smart factory movement.

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Digitalization is the topic of the moment, and Industry 4.0 is at the heart of this for more efficient, cost effective factories. We're seeing an increase in the number of times this job title is cropping up and it shows a general increase in interest in businesses adapting for servitization.

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Reducing unplanned downtime in factories is crucial to reducing overall maintenance spend and the total cost of asset ownership. Achieving this at scale however is a significant challenge and can only be achieved through the intelligent use of machine learning driven predictive maintenance solutions

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The Internet of Things has a lot of promises associated with it, relating to how much it will improve our lives. Manufacturing will see the the best improvements.

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Industry 4.0 has often been critisized from a security point of view but is this really fair? Often the security issues such as Meltdown and Spectre are within.

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Maintenance practises have changed significant in a fairly short time. No planning has given way to scheduled planning, giving way to predictive maintenance.

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Industry 4.0 promises many things around security and interoperability but the most interesting thing is predictive maintenance, enabled by prognostics.

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IoT meets Industry

November 18, 2015

IoT meets Industry – Part 1

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Not Horizontal, Cross Vertical!

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