IIoT Architectures
Industrial Edge & Cloud Computing
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.
Secure data and network in IIoT applications
Solar plants have critical monitoring and management needs. In many cases, traditional wired infrastructure for monitoring and management …
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Digital solutions in production by integrating OT and IT
The Porsche plants in Stuttgart-Zuffenhausen and Leipzig implemented a common data infrastructure and universal cloud connectivity based on …
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Using the Cloud to Automate Quality Control
Intrinsics Imaging’s AI-powered vision system uses edge I/O to connect the cloud to the edge.
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Edge computing and its role in the smart factory:
Making sense of the edge, most manufacturing facilities are not in a position for the widespread deployment of …
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Leading IoT Vendors Commit to OPC UA Adoption
Major IoT vendors including AWS, Google Cloud, IBM, Microsoft, SAP and SIEMENS leverage secure, standardized information exchange in …
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IT-OT Convergence Special Report 2022
Industry experts weigh in and provide their perspective on the state of IT-OT Convergence in the modern manufacturing …
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IIoT architectures revolutionize factory production management
Ever shorter response times, increasing volatility and almost unmanageable complexity are bringing production challenges into sharp focus. But …
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Artificial intelligence at the edge enables new 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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