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Showing posts with label GE. Show all posts
Showing posts with label GE. Show all posts

Wednesday, August 23, 2017

Increasing IoT Investment for Supply Chain



At the beginning of 2017, IDC published its forecast for worldwide spending on the Internet of Things (IoT). It came up with the figure of $737 billion for spending on IoT in 2016 to cover organizational investments “in the hardware, software, services, and connectivity” it requires. That amount would continue to grow based at “a compound annual growth rate (CAGR) of 15.6% over the 2015-2020 forecast period, reaching $1.29 trillion in 2020,” the firm projected.
A huge chunk of that is to come from industry. In fact, IDC’s estimates allocate the lion’s share of IoT investments in 2016 to that sector and found that it involved several large investment amounts. For the 2016, investment in IoT for manufacturing operations would have amounted to $102.5 billion. It also involved a chunk of investment in logistics, specifically freight monitoring  to the tune of $55.9 billion.
The motivation for such hefty investment at this time, according to IoT World’s report Manufacturing IoT & Supply Chain Transformation in 2017 (registration required) “is simple: a compelling ROI through increased efficiency, productivity, reliability and safety.”
Indeed, that fits “the formula for the Industrial Internet” that GE set forth in its 2015 Industrial Internet Report. It described the IoT for industry “as a source of both operational efficiency and innovation that is the outcome of a compelling recipe of technology developments,” which are composed of the following parts.
  • Data: both from the standard forms of Big Data and the additional streams coming through the sensors that track “equipment, products, factories, supply chains.”
  • Analytics that can assess the status of the connected things.
  • The definitive core of the business that defines the desired outcomes

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Investment in Supply Chain IoT Grows

Friday, July 5, 2013

3D printing really takes off with the help of big data

The only thing holding GE back from fully integrating 3D printing was insufficient data to assure uniform results. "A part is made out of thousands of layers, and each layer is a potential failure mode," Prabhjot Singh, head of the GE lab working on such processes, told MIT Technology Review. "We still don't understand why a part comes out slightly differently on one machine than it does on another, or even on the same machine on a different day."Now GE has come up with a big data solution to that problem.

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Big Data Helps 3D Printing Take Off