Today around two-thirds of manufacturers are gathering data from their production environments, yet relatively few are using it to improve processes or boost productivity and yield, argues Dr Simon Kampa.

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For manufacturers, leveraging data and analytics can deliver substantial returns. We’ve helped large scale manufacturers halve their levels of unplanned downtime and cut their maintenance costs by around 40%. The reduction in unplanned downtime tends to be the most significant saving here. Every minute that critical machinery is offline can cost big factories tens of thousands of pounds, so the returns that can be achieved by preventing this are substantial.

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Senseye, which was made a MindSphere Gold partner in August 2018, first provided its software to MindSphere users in June 2018, when it was made available as a complementary service that could be connected to the operating system. This new version of Senseye’s application was developed specifically for MindSphere and is hosted within the operating environment itself.

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Senseye, which uses machine learning to automate condition monitoring and prognostics analysis, has translated its industrial operations software tool into five additional languages. Previously available in English only, Senseye can now be used on the shop-floor by maintenance and operations people that speak French, German, Japanese, Russian and Spanish to cater to existing customers, with additional languages being added.

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Senseye, a provider of predictive maintenance analytics, today announced that it has partnered with the North East Automotive Alliance (NEAA), to provide its predictive maintenance software to the automotive sector in the North East of England.

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Experienced sales leader joins Senseye as Managing Director for DACH region.

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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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Senseye, a provider of predictive maintenance analytics, today announced that it has tripled the size of its dedicated customer success team to accelerate the returns that customers can make from investing in its technology.

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