Focus on Industrial Edge
Edge computing utilizes a distributed computing model to bring processing power and data storage closer to locations in the factory to improve response times, save bandwidth and reduce network latency. Often used in conjunction with cloud computing , it provides companies more flexible and agile capabilities, increases operational efficiency and reduces risks/costs in industrial IoT applications.

Edge computing for smart factories and smarter machines
Edge computing platforms offer new revenue and cost reduction opportunities for machine and equipment manufacturers. They also offer …
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No edge computing without an appropriate network
With the continuing emergence of the Industrial Edge, the industrial network will play an even more central and …
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Distributed I/O and control builds IIoT from edge to cloud
Next generation digital I/O and more distributed global architectures are enabling connectivity to the cloud for sensors and …
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Edge computing and AI create Industrial AIoT applications
Enabling AI capabilities at the edge can improve operational efficiency and reduce risks and costs for industrial applications. …
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Edge computing key driver for wider IoT deployments
IoT applications require real-time response, but deploying the compute and storage resources for IoT in the cloud may …
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How Industrial Linux enables distributed IIoT applications
Distributed IIoT applications require robust, secure operating systems to preprocess mission-critical information before transmitting to the cloud. Capable …
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Industrial edge control security design and best practices
To address security’s complex, changing nature, system designers need to understand security risks and their environment, along with …
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Looking at the world of cloud vendors: industrial edition
Automation vendors in the data storage business have enjoyed an advantage for years because their components, sensors and …
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