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What’s the ideal type of smart sensor for your industrial assets?

Monitoring the health of critical industrial assets can help companies maximize production uptime and overall equipment effectiveness. But what’s the best way to capture that data?

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Interview in WaterProof: Simon Jagers on improving reliability through data

Semiotic Labs supplies sensors and algorithms that convert data into information about when and why production resources fail. The result: more control, lower costs and more time to do other things. WaterProof spoke to director Simon Jagers.

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How the internet of things is changing manufacturing

Industrial manufacturing is expected to account for as much as 62% of IoT technology deployment. It is changing manufacturing today—and will continue to do so at an ever-increasing pace.

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The value of predictive maintenance

As data has become easier to collect, store and analyze, many maintenance professionals are turning to prediction-based maintenance strategies. Let’s see why.

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Thank you! (We’re funded)

We believe that in 5 to 10 years, 0% unplanned downtime will be the new norm. Thanks to funding from UNIIQ and ENGIE Technical Services, we’ll be doing our part to make it happen.

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UNIIQ and ENGIE Services have made a joint investment in Semiotic Labs

The UNIIQ investment fund and technical service provider ENGIE Services have made a joint investment in Semiotic Labs.

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Humans, leave the data processing to computers

From monitoring and predicting when an industrial asset might fail to refining your supply chain, letting computers process data and using the results to make decisions will be an invaluable resource that helps you save money, improve efficiency and remain competitive in the technology era.

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Generative models

How we use machine learning to detect anomalies in industrial asset health data by learning what normal operation looks like.

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Eliminate unplanned downtime

We’re on the undeniable cusp of a fundamental change in industry, a development that will alter how companies use machinery and how machinery is maintained: condition-based maintenance.

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