Author Archives: GilPress

About GilPress

I'm Managing Partner at gPress, a marketing, publishing, research and education consultancy. Also a Senior Contributor forbes.com/sites/gilpress/. Previously, I held senior marketing and research management positions at NORC, DEC and EMC. Most recently, I was Senior Director, Thought Leadership Marketing at EMC, where I launched the Big Data conversation with the “How Much Information?” study (2000 with UC Berkeley) and the Digital Universe study (2007 with IDC). Twitter: @GilPress

Cloud traffic will grow at an annual rate of 33% over the next 5 years, Cisco predicts

The new version of the Cisco Cloud Index computes the rapid expansion of today’s stampede to the cloud. “We have never seen anything like this in terms of speed of customer adoption,” Oracle Co-CEO Mark Hurd said recently, describing how his corporate … Continue reading

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Google Knows Everything (#IoT)

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Who Does What in Data Science (Infographic)

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The Evolution of Biotechnology 8000 BC to Near Future (Infographic)

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The Startup Unicorn Explosion (Infographic)

CB Insights: We looked at all still-private unicorns since 2011 and charted them based on when they first joined the unicorn club. While initially the chart shows unicorns being created at a relatively calm pace, the rhythm accelerates noticeably in … Continue reading

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Top Skills and Backgrounds of Data Scientists on LinkedIn

A new study of LinkedIn profiles by RJMetrics has found that the number of data scientists has doubled over the last 4 years . This reflects the increasing demand for sophisticated data analysis skills, combining computer programming with statistics, and the … Continue reading

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Hunting Unicorns and Rapidly Becoming the Master of the Startup Universe

CB Insights is riding the Unicorn Boom, doubling its headcount since the beginning of the year, propelled by its unique database of companies and investors and everything there is to know about them. The frequency of “according to CB Insights” … Continue reading

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45% of work activities can be automated including those performed by highest-paid occupations

McKinsey: …our research suggests that as many as 45 percent of the activities individuals are paid to perform can be automated by adapting currently demonstrated technologies.4 In the United States, these activities represent about $2 trillion in annual wages. Although … Continue reading

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Google: Machine Learning and Deep Neural Networks Explained (Video)

[youtube https://www.youtube.com/watch?v=bHvf7Tagt18?rel=0] *Greg and Chris did an AMA on Friday, September 25th to answer people’s deep learning questions. Check out their answers here: https://goo.gl/jpbMy9 *To read more about machine learning, neural nets, and the like – check out the Google … Continue reading

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Evolution of Computer Storage 1956-2015

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