Our CTO, Robert Russell, features in August’s edition of Processing Magazine where he highlights the operational challenges of scaling predictive maintenance & how automating analytic tasks allows organizations to expand the coverage of its assets without significantly increasing costs.

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Our CEO, Simon Kampa, recently wrote an article for Smart Industry which explores the challenges of deploying traditional predictive maintenance at scale, and how artificial intelligence is enabling wider and faster deployment.

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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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Senseye has joined forces with PTC to offer easy to use predictive maintenance to users of the leading ThingWorx® industrial innovation platform

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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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Just what is the fuss with predictive maintenance over preventative maintenance? In simple terms, preventative is scheduled and does not use real condition.

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It's crucial to get the data correct for a predictive maintenance project in order to be able to accurately detect machine failure. 6 tips on getting good data.

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Reducing machine downtime can come through condition monitoring (current health) and prognostics (remaining useful life), key for predictive maintenance

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Servitization allows you to get closer with your customers by providing your product as a service. Predictive maintenance helps ensure that you can deliver it.

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The hype around Predictive Analytics seems never ending. Yet it has some serious limitations when it comes to predicting machine failure and avoiding downtime.

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