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19 Jun 2013
First-of-its-kind Industrial Strength Big Data & Analytics Platform Connects Machines and Business Operations in the Cloud
Industrial Internet Platform Built for Unique Scale of Industrial Data; New Wikibon Report Estimates Industrial Data Growth Rate 2X Any Other Big Data Segment
• GE “Predictivity” Services and Technologies for the Industrial Internet reduce waste and unplanned downtime of critical machines jet engines, healthcare technology, power turbines and locomotives
San Francisco, CA, June 18, 2013 — /BackupReview.info/ — GE (NYSE: GE) announced today the first big data and analytics platform robust enough to manage the data produced by large-scale, industrial machines in the cloud. Built to support the Industrial Internet and turn big data into real-time insight, the platform will benefit major global industries including aviation, healthcare, energy production and distribution, transportation and manufacturing. Combined with the new GE PredictivityTM services and technologies available today, airlines, railroads, hospitals and utilities can manage and operate critical machines such as jet engines and gas turbines in the cloud running businesses better by increasing productivity and reducing waste and downtime. This marks the first time industrial companies will have a common architecture, combining intelligent machines, sensors and advanced analytics.
GE’s industrial strength platform is supported by the new Proficy Historian HD the first Hadoop-based historian data management software. Historian delivers real-time data management, analytics, and machine-to-operations connectivity in a secure, closed-loop architecture so critical global industries can move from a reactive to a predictive industrial operating model.
Bill Ruh, VP of the Global Software Center, GE, said,“GE’s industrial strength platform is the first viable step to not only the next era of industrial productivity, but the next era of computing. The ability to bring machines to life with powerful software and sensors is a big advancement – but it is only in the ability to quickly analyze, understand, and put machine-based data to work in real-time that points us to a society that benefits from the promise of big data. This is what the Industrial Internet is about and we are building an ecosystem with partners to save money for our customers and unlock new value for society.”
“Pivotal and GE share a vision for a common platform that is cloud-agnostic and based on modern, scale-out technologies; and does it all at speeds faster than what was previously possible,” said Pivotal CEO Paul Maritz. “Our respective strengths in big and fast data analytics and agile software development will provide our mutual customers with the solutions they need to leverage the Industrial Internet and begin building or deploying applications that make them more efficient year after year.”
“Decades of GE-led innovation have helped shape history, and we are excited to work with the GE team to help shape the future of Industrial Big Data,” said Werner Vogels, Amazon.com Chief Technology Officer. “GE’s domain knowledge and R&D capabilities combined with the strength of AWS’s global infrastructure, breadth of services and big data expertise will help enable customers to solve problems in ways we haven’t even imagined yet, such as improved accuracy in healthcare treatments or extreme levels of energy efficiency.”
Bigger and Faster Data
Jeff Kelly, Big Data Analyst, The Wikibon Project, said,“Our research found that an industrial strength cloud environment needs to meet the challenges of integrating large volumes of machine data with data from other sources while executing near real-time analytics. GE is well positioned it has both the Industrial Internet technology and the deep expertise across healthcare, energy, transportation and aviation – to develop and deliver software and services capable of scaling and delivering meaningful insight and action from complex industrial data.”
“Predictivity” Industrial Internet Solutions — Asset and Operation Outcomes
Amazon Forward-Looking Statements
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