• Data Governance as the Backbone of Information Value


    Year: 2019

    Data Strategies for Modern Oil & Gas Operations


    Year: 2019

    Everything You Need to Know About IIoT in 2020


    Year: 2019

    Covestro PI World customer story

    Covestro’s story is a common one in the manufacturing world. The company had a wealth of data streaming in from equipment and processes: data that could theoretically be harnessed and acted upon. But its data was difficult to access, stored in local silos, and cut off from sharing and analysis by the lack of enterprise-wide data standards. The fix for Covestro: Making full use of its PI System. Instead of a series of data islands built around local PI System servers, Covestro now has a single data hub that allows for easy collaboration, advanced analysis, and access to real-time, context-rich data across the company. With help from OSIsoft, a multidisciplinary team of engineers at Covestro built a flexible, accessible data hub from the ground up, first standardizing how data is captured and stored, then organizing it within a virtual model of the company’s physical assets, and finally using the newly accessible data to build powerful visualization and simulation tools. The system gives Covestro engineers easy access to a variety of advanced analytics, from diagnosing problems with common manufacturing processes to using machine learning tools to detect anomalies, to performing advanced forecasts and scenario testing.
    Year: 2019

    Toyota PI World customer story

    Imagine a world in which you could drive a car, knowing it will have zero CO2 impact throughout its entire lifecycle. The plant producing the car utilizes the least amount of energy possible, and the energy it does use comes from renewable sources. The car likewise runs on renewable energy until the end of its life, when it will be recycled, leaving the world with a zero-carbon footprint. This is the kind of world Toyota has been imagining. Recently, Toyota Motor Europe began relying on real-time operational data to enable energy management as part of a project called Toyota Environmental Challenge 2050. Toyota is using OSIsoft’s PI System to gather and process the data it needs to understand its energy usage so it can lead the automotive industry’s transition toward an environmentally sustainable future.
    Year: 2019