Real time data acquisition and management will bring huge positive disruption to industry
Here’s the press release:
Jeff Immelt, chairman and CEO, GE, said, “Industrial data is not only big, it’s the most critical and complex type of big data. Our greatest challenge and opportunity is to manage and analyze this data in a highly secure way to deliver better outcomes for customers and society. We are developing more predictive solutions and equipping our products with sensors that constantly measure performance so our customers see major productivity gains and minimize no unplanned downtime. Observing, predicting and changing this performance is how the Industrial Internet will help airlines, railroads and power plants operate at peak efficiency.”
GE now offers customers 24 total Predictivity solutions, including 14 launched today. These solutions deliver asset optimization and operations optimization, providing more flexible solutions to manage machines and entire operations — helping them run better, consume less fuel, get serviced more efficiently and minimize unplanned downtime.
In the last year, customers have seen improved outcomes across the board. For St. Luke’s Medical Center, which is using GE software to manage and analyze patient and equipment data, this means a 51 minute reduction in bed turnaround time and reduced patient wait times. Gol Airlines is using software to better track, analyze and adapt its flight routes and fuel consumption and predicts it will see $90 million in savings over the next five years.
For the first ten products launched in the last year, revenues are $290 million year-to-date, with orders of $400 million. GE will leverage our high-margin $160 billion services backlog to develop more technologies, grow our dollars of revenue per installed base 3-5 percent annually, and increase software sales by more than 15 percent annually. GE has 14 launch customers for its 14 new technologies. New Predictivity products launched today include:
|Asset Optimization||Operations Optimization|
@idisrupted @johnstraw @GEPredix #industrialinternet