• OSIsoft and TrendMiner Sign OEM Agreement

    OSIsoft, a leader in operational intelligence, and TrendMiner, the frontrunner in predictive analytics for the process industry, announced the companies have signed an Original Equipment Manufacturer (OEM) agreement. The combination of the companies' technologies provide industrial and process customers with a comprehensive solution that maximizes the value of their process data and accelerates digital transformation for Industry 4.0 initiatives.

    OSIsoft and Sunverge Energy Launch Alliance to Streamline Data Management for Distributed Energy Resources

    OSIsoft and Sunverge Energy Launch Alliance to Streamline Data Management for Distributed Energy Resources Delivering Sunverge data directly into the PI System reduces data management tasks and gives utilities a more unified view of available assets. General 2017-02-01 OSIsoft, LLC, a leader in operatio ...

    Achieving Digital Transformation with Asset Framework

    Manufacturing enterprises are ushering in a new era of digital industrialization, but many organizations are still failing to maximize the benefits of operational data. Instead, companies are overwhelmed by the volume and complexity of their real-time data and vital process information that could deliver operational insights is landlocked in multiple systems without necessary context to make informed decisions. OSIsoft’s Asset Framework (AF) – part of the PI Server – accelerates digital transformation by unifying disparate sources of data so individuals and organizations can gain insights to take action.
    Year: 2017

    HPE Enabling Data Management at the Edge in Industrial IoT

    This white paper describes the context, fit and value of HPE hardware and OSIsoft software for managing and processing data at the edge, enabling the deeper insights that customers need to improve their business.
    Year: 2016

    Asset Risk Assessment through Advanced Analytics(1)

    PSE&G has been collecting substation transformer health data for the past 13 years to help predict when an asset should be replaced. The replacement algorithm is based on criticality of asset, asset age, asset health condition and corrective maintenance history. For the past several years PSE&G has been collecting more real time data on transformers and storing the data in the long-term archives.
    Year: 2015