• Accelerate PI Asset Framework with Cognitive Computing

    With its rich set of features and functions, PI Asset Framework (PI AF) is the preferred way for users to interact with their PI System data. However, the task of accurately identifying, classifying and naming massive amounts of individual PI ...
    Year: 2018

    Monitoring Data Quality with Asset Analytics

    Data Quality is rapidly becoming one of the top areas of interest for organizations looking to extract the most benefit from their data infrastructure. As the number of connected devices continue to grow, having visibility into data quality becomes an ...
    Year: 2018

    Monitoring of Cable Transit Sealing Systems

    Running cables and pipes through partitions safely and secure, especially where protection against fire, water, gas or other threats are needed, means that maintenance of whatever system you use for doing so is needed. This has for a long time ...
    Year: 2018

    Artificial Intelligence is Enabling MHPSA to Change the Utilities Business Model

    In this session, we will discuss how Mitsubishi Hitachi Power Systems is working with SparkCognition to implement AI for predictive maintenance into its MHPS-TOMONI platform, and in doing so is changing the business model. Even in today’s highly efficient power ...
    Year: 2018

    Migrating Performance Equations to AF Analytics Programmatically(1)

    OSIsoft has recently released PE2AF, a utility for migrating performance equations to AF analytics. The release in on PI Square's GitHub and includes all source code. Mr. Soll is the author of the utility and will take the audience through ...
    Year: 2018