OSIsoft: Real-Time Monitoring and Analytics - The Power of PI, Part 1

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Description

Global carbon regulation is arguably the largest risk and opportunity most corporations will face in the beginning of the 21st century. It has been estimated that turnover in the global carbon marketplace could exceed a trillion dollars in the next five to ten years. Voluntary and mandatory reporting protocols are emerging. How can an organization know its true carbon footprint and exposure? What options are available to manage corporate carbon risk? What impact can energy efficiency programs have on reducing a corporation’s carbon footprint? Read whitepaper

OSIsoft’s real-time monitoring solutions help companies improve the overall energy efficiency of their organization while simultaneously reducing its carbon footprint. In fact, Microsoft uses OSIsoft PI infrastructure for their Data Center Energy management. Also at a recent, OSIsoft user group meeting, Kodak presented on how they were able conserve energy and reduce their operational costs by using OSIsoft software.

Several case studies exist on OSIsoft’s website which can be viewed at http://www.osisoft.com/Resources/Case%20Studies

Here, we meet some of the developers who make PI and a surprise appearance by OSISoft's founder and CEO, Dr. Pat Kennedy.  What is PI, exactly? How does it work? Is it extensible?  

Cast of characters:

Prabal Acharya, ex-OSIsoft-customer to ex-engineering to now Director, Microsoft Global Alliance.
Alex Zheng, Team Lead, PI Server & Analytics
Jason King, Senior Developer, PI Clients
Denis Vacher, Lead Developer, PI Server Core and Niner
Dr. Pat Kennedy – Founder and CEO
Mark Hughes – CTO

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The Discussion

  • User profile image
    piadmin.com
    Being a PI consultant developer for the last 13 years I found this very interesting. I didn't know OSISoft had a system running in Microsoft's datacenter. We're looking at putting a solution together for a customer with datacenters handling email from 19,000 businesses with 7 million end users. Energy usage is going to be one of the key metrics. PI is really proving its worth in many new fields now. 

    Jason

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