Intelligent CIO Europe Issue 43 | Page 79

t cht lk sensors , mobile apps and human data entry . For all this data to be truly beneficial to the humans that will use it , it needs to be transmitted to a central location – one platform to collect , present and manage the analysis . A platform like Liferay ’ s open-source digital experience platform can serve as this central hub .

t cht lk sensors , mobile apps and human data entry . For all this data to be truly beneficial to the humans that will use it , it needs to be transmitted to a central location – one platform to collect , present and manage the analysis . A platform like Liferay ’ s open-source digital experience platform can serve as this central hub .

Data volume can be extreme
The IIoT is only as powerful as your ability to bring data together
In short , the technology used with the IIoT becomes a powerful tool that can completely change how business leaders and operating managers make informed decisions . The key is to avoid data silos and instead promote data integration wherever possible .
Depending on the circumstances , the data collection might be via a wired Internet network , Wi-Fi , a cellular network , or even a satellite connection . With potentially hundreds of equipment sensors taking thousands of measurements each second , along with data from other systems and apps , data volume can quickly become an issue .
Today , it ’ s cheaper than ever to send data , but the processing and storage necessary can add up , especially considering some companies will send gigabytes of data per hour .
One way to make data transmission more efficient is through Edge processing , that is , analysing data at the sensor itself making the IoT device as smart as possible .
The other consideration with all this data is security . Fortunately , there are many good cloud and hybrid cloud solutions that can provide the network and security requirements most companies will need .
This will help make your IIoT projects all the more valuable , ultimately reducing human errors and improving decision-making , increasing efficiency , decreasing costs and lead to improvements in quality control and machine maintenance .
Big promises , but a properly implemented IIoT strategy can deliver big results .
Implementing an IIoT strategy can be a long and complex process , so to be successful the plan will require forethought , dedication and the right tools , platforms and partners . For those who are committed , the outcomes will be worthwhile . p
The key is to avoid data silos and instead promote data integration wherever possible .
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