• IDC Perspecitve: Evaluating OSIsoft (Adding Intelligence to IoT Analytics and Information Management)

    OSIsoft is the most widely deployed solution for capturing data from sensors and smart device across manufacturing, energy, utilities, pharma, life sciences, transportation, and facility management. Solutions are centered around the PI System that stores time series data in its original fidelity and assembles into digital twins within an asset framework that also provides context and can blend operational data with business and environmental information for IoT analytics insights and information management.
    Year: 2018

    Where Business Intelligence Gets Its Intelligence(1)

    Business analytics, machine learning and Internet of Things (IoT) technologies will transform virtually every aspect of the economy in the coming decades. One of the biggest stumbling blocks, however, remains capturing, organizing and delivering the vast amounts of data from sensors, industrial equipment, power supplies and other operational technologies (OT) in a timely fashion to achieve genuine, actionable insights through information technology (IT). Too often, this data — the raw material of business analytics — remains landlocked in disparate systems as getting it out requires inordinate amounts of time and money.
    Year: 2016

    Leveraging IIoT Devices in the Power Gen Industry

    The Industrial Internet of Things (IIoT) is poised to seep into nearly every part of asset-intensive industries — including power generation. Even with the significant opportunities of IIoT, integrating distributed, intelligent devices into plants brings unique challenges. How do IIoT devices complement the telemetry available from existing automation and control systems? How can my organization prepare to embrace this new wave of technology? These are just a few of the questions facing asset-intensive industries with the arrival of IIoT. To better understand these challenges and opportunities, this paper explores how IIoT devices can complement the existing industrial control systems of power generation facilities.
    Year: 2018

    Data operations transform fuels value

    A refiner applied advanced analytics to develop techniques for processing opportunity crudes which minimize negative effects on the plant ...
    Year: 2017

    TDWI Checklist Report: Six Steps for Generating Business Value from Operational IoT Data

    How IT and operations can harness the potential of machine data and analytics for improved operational efficiency and business performance.
    Year: 2018