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“One minor fail by one company, and the whole industry takes a hit.
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“Hype backfires by shortening people’s patience,” he writes. Riding the hype cycle with your company can be heady, but dangerous, writes entrepreneur Mark Rosner in Venture Beat. “ Smart machine technologies will be the most disruptive class of technologies over the next 10 years due to radical computational power, near-endless amounts of data, and unprecedented advances in deep neural networks that will allow organizations with smart machine technologies to harness data in order to adapt to new situations and solve problems that no one has encountered previously,” the company writes. Gartner has particularly high hopes for smart machines.
#Gartner hype cycle 2015 big data software#
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Without Big Data, what technologies took center stage as being hyped? “Therefore, we are integrating the big data and information topics across a number of Hype Cycles rather than covering the topics in one single Hype Cycle.” “Dealing with large sets of information has become an integral part of most organizations’ businesses, and part of most computing environments,” the analysts wrote. Gartner analysts Betsy Burton and David Willis telegraphed this last year during the release of the Gartner Hype Cycle 2015, when they announced that the company would no longer do a Hype Cycle for Big Data technologies.
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That’s because, according to the company, Big Data is so pervasive that it can’t really be considered an emerging technology any longer. What was unusual about this year’s Gartner Hype Cycle is that Big Data-which has been one of the tent pegs for the past several years-is nowhere to be seen, after being plunged into the Trough of Disillusionment in 2013.