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The Gartner hype cycle is a graphical presentation developed, used and branded by the American research, advisory and information technology firm Gartner to represent the maturity, adoption, and social application of specific technologies. The hype cycle claims to provide a graphical and conceptual presentation of the maturity of emerging ...
The Template:Cloud computing links to articles related to different layers specific to cloud computing. It should have a small number (5-10) of the best available examples of each layer as its purpose is to illustrate by example rather than to advertise products and services.
Gartner was the target of a federal lawsuit (filed May 29, 2009) from software vendor ZL Technologies challenging the "legitimacy" of Gartner's Magic Quadrant rating system. [7] Gartner filed a motion to dismiss by claiming First Amendment protection since it contends that its MQ reports contain "pure opinion", which legally means opinions that ...
Gartner expects adjusted earnings for the year to be $10.9 per share, up 90 cents per share from its previous projection. Gartner lifts annual earnings forecast on stable demand for research ...
Gartner is a research and advisory firm [21] [22] [23] with three business segments: research, conferences, and consulting. [24] As of December 2024, Gartner has over 21,000 employees globally and operates in 90 countries and territories. [24]
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NASA's Nebula platform. In July 2010, Rackspace Hosting and NASA announced an open-source cloud-software initiative known as OpenStack. [7] [8] The mission statement was "to produce the ubiquitous Open Source Cloud Computing platform that will meet the needs of public and private clouds regardless of size, by being simple to implement and massively scalable".
Asymptotic normality of the MASE: The Diebold-Mariano test for one-step forecasts is used to test the statistical significance of the difference between two sets of forecasts. [ 5 ] [ 6 ] [ 7 ] To perform hypothesis testing with the Diebold-Mariano test statistic, it is desirable for D M ∼ N ( 0 , 1 ) {\displaystyle DM\sim N(0,1)} , where D M ...