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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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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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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2019 marks an inflection point in the maturity of Industry 4.0 and the application of real-world predictive maintenance. As a provider of industrial predictive maintenance analytics to Fortune 500 companies, it is very much our area of expertise. Read our predictions for 2019.

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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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Our CEO, Simon Kampa, recently featured in IMPO magazine where he provides a five-point plan outlining how manufacturing environments of all shapes and sizes can achieve substantial improvements in productivity and efficiency by implementing predictive maintenance at scale.

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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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Our CEO, Simon Kampa, recently featured in IMPO magazine where he explains how artificial intelligence has helped increase the adoption of predictive maintenance by manufacturers and helped to fill maintenance skills gaps and boost productivity.

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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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