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.

Read More

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?

Read More

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!

Read More

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

Read More

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

Read More

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

Read More

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

Read More

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...

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More

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

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More

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.

Read More

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

Read More

Maintenance practises have changed significant in a fairly short time. No planning has given way to scheduled planning, giving way to predictive maintenance.

Read More

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.

Read More

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.

Read More

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

Read More

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.

Read More

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

Read More

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

Read More

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.

Read More

Prognostics is a relatively new term in industry and it's key to predictive maintenance. It all comes down to calculating the remaining useful life of machines.

Read More

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

Read More

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.

Read More

A number of prognostics tools are turning up but how effectively can they help you with your predictive maintenance? We've put together a checklist to help!

Read More

Industry 4.0 promises many things around security and interoperability but the most interesting thing is predictive maintenance, enabled by prognostics.

Read More

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

Read More

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!

Read More

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

Read More

It can be difficult to measure how much money predictive maintenance can save in manufacturing. Thankfully we;ve found a great and impartial case study

Read More

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

Read More

Condition Monitoring (CM) is the process of monitoring data (vibration, acoustic emissions, temperature, etc) from machinery in order to identify changes which may indicate faults.

Condition monitoring project life cycles tend to follow a consistent traditional engineering roadmap from specifying the system through implementation, rollout, training and support.....

Read More

IoT meets Industry – Part 3

Read More

IoT meets Industry – Part 2

November 30, 2015

IoT meets Industry – Part 2

Read More

IoT meets Industry – Part 1

November 18, 2015

IoT meets Industry – Part 1

Read More

Not Horizontal, Cross Vertical!

Read More

Using Senseye with Thingspeak

September 14, 2015

Using Senseye with Thingspeak

Read More