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

Only Humans Need Apply: Winners and Losers in the Age of Smart Machines

Posted on October 8, 2016 by GilPress

Under pressure to remove alleged human bias from its “Trending Topics” section, in August Facebook fired the editors who were selecting and writing headlines for the stories, explaining that this “will make the product more automated.” The results of trusting algorithms … Continue reading →

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Human-Level AI by 2040?

Posted on October 7, 2016 by GilPress

Source: @Annu297 Vincent Müller and Nick Bostrom of FHI conducted a poll of four groups of AI experts in 2012-13. Combined, the median date by which they gave a 10% chance of human-level AI was 2022, and the median date by which … Continue reading →

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Top 19 Artificial Intelligence Movies

Posted on October 5, 2016 by GilPress
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60 Startups Active in the Deep Learning Market Landscape

Posted on October 4, 2016 by GilPress

CB Insights: As recently as 2013, the [deep learning] space saw fewer than 10 deals. But since January 2015, deep learning startups have raised over 70 equity deals in aggregate, and over $600M in equity funding since 2012… Computer Vision: … Continue reading →

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Timeline of Chatbots

Posted on October 3, 2016 by GilPress
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Internet Of Things By The Numbers: Results from New Surveys

Posted on October 2, 2016 by GilPress

Things are looking up for the Internet of Things. 80% of organizations have a more positive view of IoT today compared to a year ago, according to a survey of 512 IT and business executives by CompTIA. “This reflects greater levels of attention … Continue reading →

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Gartner Hype Cycle for Emerging Technologies 2016: Deep Learning Still Missing

Posted on October 1, 2016 by GilPress

For the 22nd year, Gartner has released its much-discussed hype cycle report on emerging technologies, “providing a cross-industry perspective on the technologies and trends that business strategists, chief innovation officers, R&D leaders, entrepreneurs, global market developers and emerging-technology teams should … Continue reading →

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Timeline of Artificial Intelligence

Posted on September 30, 2016 by GilPress

Source: Live Science

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Smart Cars: The Next 10 Years

Posted on September 30, 2016 by GilPress
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Artificial Intelligence: Market Overview

Posted on September 29, 2016 by GilPress

Venture Scanner: Deep Learning/Machine Learning (General): Companies that build computer algorithms that operate based on their learnings from existing data. Examples include predictive data models and software platforms that analyze behavioral data. Deep Learning/Machine Learning (Applications): Companies that utilize computer … Continue reading →

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