I'd like to express my appreciation to all of the amazing folks at Esri for hosting a first class event in Hong Kong last week for their growing GIS community in the region. OSIsoft's booth at this event was quite lively, with an almost continuous stream of Esri partners, distributors and customers - some of whom are already in the greater OSIsoft community. I witnessed a great deal of excitement and "ah ha" moments over the course of the conference and throughout the community as the significance of our partnership with Esri and the value of integrator technology (released late in 2014) became apparent.
I've had the privilege of watching the evolution of our partnership and the development of our products' integration over the last two years. Even so, I came away with new insights into how significant this bringing together of "space and time" really is. As many of you know, I was deeply involved in the birth of our AF (meta data) service in the PI System. AF (Assets and Event Frames) provide invaluable contextualization of time series data. Contextualization in PI, the logical organization and relating of data streams (time series data) based on the physical world enables a whole new level of visual and computational analytics, machine learning, forensic analysis of data and visual reporting that with data streams alone can be onerous.
Today, users can now conveniently use ArcGIS and the geospatial world to contextualize PI System data streams, assets and event frames. But before I get to that, let me say that it was stunning (having not coming from the world of "maps") to see immediate value in the way ArcGIS contextualizes information though "maps". Maps in quotes because over the many sessions and demos I saw every conceivable representation of our spatial world in both 2D and 3D overlaid with every imaginable type of information allowing a broad spectrum of visual and computation analytics, what if analysis, and what I think might be the most important part - enabling a new level of taking action or design. "Everyone is a designer" still echoes.
The PI System is the infrastructure for streaming data, events and assets (process, operations and IoT data) providing significant value "out of the box" by gathering in a common, consistent and reliable system of record, operations data from across disparate devices and systems, across processes, facilities, sites, enterprises and now across enterprises, providing operations and business stakeholders the timely information they need about their operations. This data, combined with asset and event data feeds everything from simple trends (which often create some of the best operations insights) to the most advanced machine learning and analytics, visualization and reporting. Now, put all of these data streams, assets, events in the context of geospatial as additional information layers in "maps" and the possibilities simply explode…and I'm certain that we are only looking at the infancy of this opportunity. The potential insights that are enabled by this combined dynamic information space - the digital representation of temporal, physical, spatial and human/social data and context - will enable a whole new generation of problem solvers and designers to see their world in a new way, more effectively solving many of the problems they currently face and engaging challenges and envisioning new ways of thinking that weren't previously possible or realistic.