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Nokia portfolio of industrial applications and devices

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Results: 15
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    Nokia Integrated Operations Center

    Short description

    Digital operations platform for IIoT

    Simplify operations for an increasingly complex connected digital world. Provides a single pane of glass to intelligently control and manage a variety of IoT and non-IoT data sources, systems, applications and analytics engines, while enhancing end to end operational efficiency. With robust model driven AI/ML platform capabilities and a complex rule engine to drive automated processes, the IOC brings true actionable intelligence to digital operations. It can be deployed on the Nokia MX Industrial Edge (MXIE), thus enabling use cases that require high availability and reliability.

    Manufacturer
    Nokia
    Manufacturer
    Nokia
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    Nokia Integrated Operations Center

    Short description

    Digital operations platform for IIoT

    Simplify operations for an increasingly complex connected digital world. Provides a single pane of glass to intelligently control and manage a variety of IoT and non-IoT data sources, systems, applications and analytics engines, while enhancing end to end operational efficiency. With robust model driven AI/ML platform capabilities and a complex rule engine to drive automated processes, the IOC brings true actionable intelligence to digital operations. It can be deployed on the Nokia MX Industrial Edge (MXIE), thus enabling use cases that require high availability and reliability.

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    DataSentics Quality Inspector

    Short description

    Computer vision platform

    Implement a quality control solution that is quick to deploy, thanks to the prepared models that are tailored to the specific scenario. Leverage the high-precision use cases, that can be integrated into existing set ups or delivered as an end-to-end solution. Running on the Nokia MX Industrial Edge provides additional benefits reducing time to market and increasing availability of applications.

    Manufacturer
    Eviden
    Manufacturer
    Eviden
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    DataSentics Quality Inspector

    Short description

    Computer vision platform

    Implement a quality control solution that is quick to deploy, thanks to the prepared models that are tailored to the specific scenario. Leverage the high-precision use cases, that can be integrated into existing set ups or delivered as an end-to-end solution. Running on the Nokia MX Industrial Edge provides additional benefits reducing time to market and increasing availability of applications.

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    Meters

    Prosys OPC UA Forge

    Short description

    Secure, standardized access to OT data

    Get a single point of access for all assets, enabling data collection from sensors, devices, machines, and automation systems using various protocols. Facilitates structured data organization using OPC UA information modeling*, ensuring interoperability across different manufacturers and system generations.

    Manufacturer
    Prosys
    Manufacturer
    Prosys
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    Meters

    Prosys OPC UA Forge

    Short description

    Secure, standardized access to OT data

    Get a single point of access for all assets, enabling data collection from sensors, devices, machines, and automation systems using various protocols. Facilitates structured data organization using OPC UA information modeling*, ensuring interoperability across different manufacturers and system generations.

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    Production line

    SwitchOn

    Short description

    AI powered computer vision

    SwitchOn enables the manufacturing industry to ensure product quality and process continuity. It offers accelerated model training, with just 30 minutes, using unsupervised AI resulting in high-precision models, with less than 0.5% false positives. 

    Manufacturer
    SwitchOn
    Manufacturer
    SwitchOn
    Image
    Production line

    SwitchOn

    Short description

    AI powered computer vision

    SwitchOn enables the manufacturing industry to ensure product quality and process continuity. It offers accelerated model training, with just 30 minutes, using unsupervised AI resulting in high-precision models, with less than 0.5% false positives. 

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