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    The PI System has been supporting the MOL Group for 2 decades of digital transformation

  • IIoT Disasters Icon

    IIOT DISASTERS CAN INCLUDE: 

    1. Data silos: collecting data into asset or solution-specific applications limits your view of enterprise performance
    2. No data ownership: operational data resides with the collection company
    3. Missing, or poor, data context: lack of metadata makes it difficult for end users to find data
    4. Poor data quality: due to unpredictable network connectivity
    5. Increased use of bandwidth: raw data sent from remote locations means higher bandwidth costs

    Our Approach Icon

    OUR IIOT APPROACH ENABLES YOU TO:

    1. Maintain one version of the truth for your operational data and easily integrate it with other systems; the PI System is agnostic and eliminates silos
    2. Own and control your operational data
    3. See the data context by automatically collecting source metadata that can be filtered, searched, etc.
    4. Maintain consistent data quality by buffering and/or storing data during network interruptions
    5. Optimize data communications by analyzing raw data in the field and only send what's most important

  • Federal Installation

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    Federal Installation

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    Federal Installation

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  • Section 10 Video PTC

    PTC

    PTC Improves Augmented Reality and Machine Learning

    National Instruments Video

    National Instruments

    Bring context to High-Speed national Instruments Sensor Data

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    Emerson

    Demo: A Partner-Centric IIoT Integration Example Using Off-the-Shelf Components

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