09.15.2015
GE and Pitney Bowes today announced that Pitney Bowes location intelligence and data quality solutions will be embedded in GE Predix, the cloud-based platform for creating innovative Industrial Internet applications that turn real-time operational data into insight for better and faster decision-making.
Collaborating on the GE Predix platform enables business leaders to address mission-critical challenges across large-scale industrial environments. This level of intelligence spans physical and digital networks to speed operational decisions that deliver cost efficiencies, improve performance and increase revenues.
Today, machines communicate with each other across industrial networks in much the same way people do in social networks. Industrial analytics bring to light powerful opportunities for optimizing operations.
Location intelligence and data quality are the two of the most critical aspects of data analytics for industrial enterprises. Pitney Bowes’ location intelligence capabilities cover 122 countries at point and street level, 240 countries and territories at postal and place levels, and provide the accuracy and precision necessary for industrial data processing needs. Multitudes of data collected by sensors on machines and assets are presented geospatially and analyzed to reveal business intelligence in real time across industrial networks.
“To harness the power of the Industrial Internet, we must continuously advance the convergence of the physical and digital worlds,” said Bill Ruh, Senior Vice President and Chief Digital Officer, GE Digital. “Our strategic partnership with Pitney Bowes is a great example of how this is happening today. Understanding the complex relationships between location and data gives us the ability to drive deeper insights and real-time action for improving performance and productivity over a machine’s life cycle. This is only made possible when you combine Predix, location intelligence and our industrial domain expertise. We look forward to working with Pitney Bowes to help companies build digital industries.”
“Industrial challenges require the global real-time big data analytics provided by the GE Predix platform. On this industrial scale, Pitney Bowes location intelligence solutions deliver geospatial analytics for solving mission-critical challenges, while data quality solutions provide global precision,” said Mark Wright, President of Digital Commerce Solutions, Pitney Bowes.
In shipping and logistics, industrial analytics help transform global operations with intelligence around the location of each asset at any given time. For example, the ability able to track materials needed for manufacturing as they are moving through a complex international supply chain, or the optimization of last-mile delivery for millions of domestic and cross-border parcels in real time.
Government officials turn to industrial analytics to make informed and accurate decisions on repair, maintenance and investment for critical public infrastructure assets against tightly constrained budgets and timescales. As sensors are used to monitor highway traffic, utility efficiency and municipal works, a real-time geospatial view of infrastructure becomes critical for planning and delivering city services.
Mining companies have, for many years, relied on geospatial data analytics to help find the highest concentration of minerals that can be extracted at the lowest cost. At mining sites, remote and autonomous vehicles, mining equipment, conveyor belts and even staff can now be equipped with sensors that include GPS for location. This information is fed into systems that analyze and optimize the operation of the mine, improve employee safety and predict problems before they happen.
Pitney Bowes Chief Innovation Officer Roger Pilc will join Bill Ruh on stage at GE’s fourth annual Minds + Machines event which will be held the week of September 28, 2015, at Fort Mason Center in San Francisco, California. The 2015 event will host 1,000+ customers, developers, thought leaders, partners, and media for focused sessions on the state of the Industrial Internet. The agenda will include deep-dive presentations on GE’s Predix platform, strategies for Asset Performance Management, and adjacent technologies driving successful Industrial Internet outcomes today.
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