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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In a recent article by The Telegraph and sponsored by Microsoft, our Co-Founder and CEO Dr Simon Kampa, provided his insights and knowledge on how AI-based technologies such as predictive maintenance

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Reducing downtime may be at the top of your wish-list when opting for a Predictive Maintenance regime, but there are other big rewards on offer. Don’t overlook the potential benefit of eliminating over-maintenance.

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Verdantix investigates how Senseye uses machine learning to prevent unplanned downtime & extend asset life & how Senseye helps industrial firms & equipment manufacturers deliver on their maintenance goals.

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Mining has significantly benefited from the use of modern machinery and data analysis. The future for the sector presents some critical challenges that need to be anticipated and managed to maintain profitably.

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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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Being entirely data driven, quick to set up & relatively few people required, it brings insights & the benefits of scale to manufacturing operations

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10 key things to look for when evaluating prognostic products to forecast machine failure

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Utilizing computing power to process vast sums of data, technology can contribute huge analysis & insights allowing experts to identify & focus on priority cases.

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Senseye, the industrial software company, today announced that it has entered into a new partnership with ATS Global to accelerate smart factory strategies

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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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As the investment in digital transformation projects continues to grow, so does the number of failed initiatives. How can companies maximize their chances of success?

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Senseye announces a strategic partnership with Malone Group to support the deployment of its predictive maintenance software in the UK, Ireland and Canada.

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The world of data science is full of models that struggle to deliver results in real-world environments. So, what is the best approach?

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Challenge drives innovation. For offshore oil & gas, the challenge is to achieve the right balance between uptime and output without delaying maintenance.

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Our top five predictions for the manufacturing sector in 2020 will provide some useful indication for what to expect

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Senseye is working with Ultimo Software Solutions to integrate Senseye’s predictive maintenance (PdM) with Ultimo’s Enterprise Asset Management System

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Senseye today announced that its suite of technologies and methodologies are being rolled out in automotive manufacturing facilities in the U.S.

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Senseye today announced that its Senseye PdM technology suite will be made available through FANUC’s ‘FIELD system’ Industrial IoT (IIoT) platform.

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In a competitive marketplace enhancing machine reliability by implementing a condition monitoring program can make all the difference. But realizing your ambitions takes planning, commitment & continuous improvement. We look at the common pitfalls & provide ways you can realize its potential.

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To date, the manufacturing sector has benefited minimally from predictive maintenance due to difficulties with the scalability of manual analysis. Senseye changes this - cloud based predictive maintenance solution, with a clear, concise user interface.

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The crucial differences between Preventative and Predictive Maintenance and how you can save downtime and increase productivity when you forecast machine failure

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How does the IIoT (Industrial Internet of Things) help Predictive Maintenance? It can be used for prognostics to help avoid downtime and save money - simple!

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Using Senseye with Thingspeak

September 14, 2015

Using Senseye with Thingspeak

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