My top tips on remote working, Guillaume Lavergne, Condition Monitoring Specialist, France

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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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My top tips on remote working, Joao Aldeano, On-Boarding Engineer, Southampton, UK

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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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My top tips on remote working, Lavina Lawrence, Senseye Business Operations & HR manager, Southampton, UK

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In an industry where the end product does not provide a large profit margin and demand is ever increasing, incremental gain must be made through efficient distribution plants. Over the last decade, heavy investment into automation has sought to alleviate these pressures.

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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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My top tips on remote working, Alberto Cortés, Senseye Backend Software Engineer, Madrid, Spain

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My top tips on remote working, Danielle Toutoungi, Senseye Data Scientist, Cambridge, UK

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Predictive Maintenance and other connected technologies associated with the smart factory revolution offer huge opportunities for production efficiency and visibility, but they also bring an additional operational risk – security.

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By going beyond the machine builder’s recommended operating model they are taking further operational risks which leads to unplanned downtime and quality issues.

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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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Our HR team led by Lavina Lawrence, has now added to the Senseye employees rewards program the ability to support donations to those who are working hard against the spread of coronavirus.

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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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Many industrial companies understand the role that Industry 4.0 can play but are often unsure what it looks like in practice.

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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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Hear what remote working means to Dan Reid, Senseye’s Co-Founder and Chief Software Architect.

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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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We are happy to announce that Senseye and Alcoa won the Heavy Industries Category at the International Operational Excellence Innovation Awards.

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Read the five main reasons why we promote flexibility and offer remote working at Senseye

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We are happy to confirm that Senseye and Alcoa are one of 14 finalists for the International Operational Excellence Innovation Awards.

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As a technology partner of OSisoft we are pleased to announce that Senseye is a Silver sponsor at the upcoming OSIsoft PI World, in San Francisco on the 23rd- 26th March 2020. The event offers an excellent opportunity to network and learn from the large PI System community.

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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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Organizations can only reap the huge rewards of Industry 4.0 by allowing data to flow freely to whichever systems can make the most of it.

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Manufacturing today is a world away from where it was ten years ago. IT is strongly represented at board level, enabling innovation and creating digitization strategies to support and enhance businesses.

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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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Giving back to our community

December 18, 2019

Christmas time can be challenging for those who are experiencing financial difficulty. That's why Senseye is trying to make a difference in their community

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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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Artificial intelligence (AI) has been the subject of science fiction writers’ imaginations for hundreds of years.

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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 factories become smarter and organizations embrace the benefits of digital transformation, it brings with it many new opportunities and new positive ways of working.

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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 has started Senseye Hack Life Days, making available to all employees the same chance to grow and contribute to our communities. See what they did!

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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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Running an Initial Deployment (ID) is a critical exercise. We have put together five steps to assist in planning for an ID

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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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Digital twins are virtual models of real life assets or production operations. They can be powerful weapons in the emerging armory of the Industry 4.0 but face a major hurdle in terms of scalability...

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What do your manufacturing customers really want? It’s certainly nice for them to have the most nimble robots or the fastest machines, but such assets are only a means to an end. What all organizations really want is a guarantee that they can keep their operations working at optimum efficiency to support their key business objectives. That's where servitization comes in.

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What is the next step in the world of predictive maintenance? The answer: prognostics. Prognostics is the science of forecasting when your assets will stop being able to perform their intended functions. With prognostics in place you can properly perform PdM which is undoubtedly the future of condition monitoring.

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Whether you are new or already familiar with Predictive Maintenance (PdM) the Senseye team have put together a handy A to Z guide of some of the commonly used words and phrases associated with the maintenance practice.

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The idea of predictive maintenance can be daunting for some manufacturers as it represents a significant cultural shift in how they plan, prioritize and perform maintenance activities. The benefits of doing so can be huge but if this shift isn’t properly managed, there can be serious consequences.

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Servitization is becoming an increasingly common term for manufacturers around the world. However, a clear understanding of what servitization is & how it affects manufacturers is much harder to come by. We’ve produced a white paper to demystify the subject. For those on the go, here’s the TL;DR.

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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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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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Making the decision to transition to automated condition monitoring shouldn’t be taken lightly. Far from a standalone maintenance project, automatic condition monitoring requires a shift in the entire organizational culture to support dramatic process, attitude and skillset changes.

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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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There are subtle but crucial differences between detection, diagnostics and prognostics when discussing machine health. Whilst you don't need to know the details, it's important to understand the differences to apply to your own industrial condition monitoring project for maximum benefit and ROI.

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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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Prognostics is particularly exciting as it means understanding the Remaining Useful Life of your machinery however it's easy to get wrong and be unsuccessful.

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Analysing condition monitoring data manually is beneficial but this method limits scalability whilst coming with great expense. Automated is best but how / when

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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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Investing the correct amount in condition monitoring can be a challenge as it's easy to spend too much and be disappointed with the results.

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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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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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Predictive maintenance can result in avoiding between 30-50% of downtime that occurs during preventative maintenance but not many companies have adopted it.

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Different techniques come under the label 'condition monitoring'. In this overview we explore where it came from, what is done and how effective it is.

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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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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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Forecasting machine failure sounds great but there can be some prerequisites. Here's our top three for you to check off to simplify things.

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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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Using Senseye with Thingspeak

September 14, 2015

Using Senseye with Thingspeak

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