Achieving something large or complex takes time. Take manufacturing a car, for example, which can require over 17 hours and 30,000 parts to complete. Similarly, implementing Industry 4.0 technologies should also be taken little by little, gradually adding layers to build a successful and robust system.
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The edge is an essential layer of the manufacturing technology stack. Machines on the factory floor collect vast amounts of raw data from various sources using numerous protocols, which all needs to be processed quickly to gain actionable insight. By processing data as close to its source as possible, the edge enables quicker, more cost-effective data analysis.
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Research from IoT Analytics has revealed that making edge computing systems ‘smart’ by integrating intelligent tools is a key driver of the technology’s continued growth. Edge analytics is a major enabler of an intelligent edge solution, broadening the scope of its use cases by enabling low latency, high-volume data actions. Here, Johan Jonzon, Co-Founder and CMO of Crosser, explains the important role of edge analytics in Industry 4.0.
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In the words of American author and motivational speaker, Tony Robbins, “complexity is the enemy of execution”. Translating even the most complicated of topics into clear, understandable language is vital to getting things done. Leading low-code platform for streaming analytics, automation and integration for the industrial IoT, Crosser, is designed with this philosophy in mind. Here, Crosser’s CMO and Co-Founder Johan Jonzon, explains why the company battles against IoT buzzwords.
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Gartner expects that by 2022 more than 50 percent of enterprise-generated data will be created and processed outside the traditional data centre or cloud. With the explosion of the IoT, the amount of data devices collect is becoming so vast that it cannot all be stored and monitored in the cloud. This is why industry needs to invest in edge solutions.
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