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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2019 marks an inflection point in the maturity of Industry 4.0 and the application of real-world predictive maintenance. As a provider of industrial predictive maintenance analytics to Fortune 500 companies, it is very much our area of expertise. Read our predictions for 2019.

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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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2017 was an exciting year for Industry 4.0, with it starting to gain some mainstream press attention. The Senseye founders give their outlook for 2018.

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Is Industry 4.0 secure?

November 14, 2017

The security of the IoT / Industry 4.0 is a HUGE topic. Here we distil the really important things that you need to consider when exploring this topic.

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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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Condition monitoring is useful for understanding the current condition of an asset but requires lots of manual analysis to get value from. We're changing that.

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Implementing Industry 4.0 can be costly and distracting but it doesn't have to be. We've listed 4 things to help you keep on top of your Industrial IoT project

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With the IoT helping predictive maintenance, do human diagnostic engineers have a place in predicting machine failure and if so, what is it?

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It's easy to go wrong in deploying an IoT solution. We've put together three principles to help in building an effective solution to avoiding machine failure.

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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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There's a lot of hype about the industrial IoT and some manufacturers of automation products think we are already there, but are we?

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Exploration of some bad advice for Industry 4.0 and how it can improve your manufacturing operations

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IoT meets Industry – Part 3

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IoT meets Industry – Part 2

November 30, 2015

IoT meets Industry – Part 2

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IoT meets Industry – Part 1

November 18, 2015

IoT meets Industry – Part 1

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Not Horizontal, Cross Vertical!

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Time of the V1.0s

May 21, 2015

Like software and hardware products, aircraft have general maturity designations; A or Mark 1 for the first production model, B (or Mark 2) for a refined and typically upgraded model and so on, (if you're in an 'X' or it doesn't have a letter after it you know you're in for a wild ride with what is essentially an experimental beta aircraft).

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