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

What is Machine Learning

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Fake News on Social Media: What Difference Does it Make?

Pew Research Center: Among social media users, Democrats – and liberal Democrats in particular – are a bit more likely than Republicans to say they have ever modified their views on a social or political issue, or on a particular … Continue reading

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Online Shopping on Twitter

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?The internet is living up to its potential as a major source for news about the presidential campaign

Pew Internet: January 11, 2008 The internet is living up to its potential as a major source for news about the presidential campaign. Nearly a quarter of Americans (24%) say they regularly learn something about the campaign from the internet, almost … Continue reading

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Artificial Intelligence: 2017 Predictions from Forrester

 Insights matter. Businesses that use artificial intelligence (AI), big data and the Internet of Things (IoT) technologies to uncover new business insights “will steal $1.2 trillion per annum from their less informed peers by 2020.” So says Forrester in a … Continue reading

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O’Reilly AI Conference: 12 Observations About Artificial Intelligence

At the inaugural O’Reilly AI conference, 66 artificial intelligence practitioners and researchers from 39 organizations presented the current state-of-AI: From chatbots and deep learning to self-driving cars and emotion recognition to automating jobs and obstacles to AI progress to saving … Continue reading

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3 Takes on Debugging Machine Learning

S. Zayd Enam: The difficulty is that machine learning is a fundamentally hard debugging problem. Debugging for machine learning happens in two cases: 1) your algorithm doesn’t work or 2) your algorithm doesn’t work well enough. What is unique about … Continue reading

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Gartner Top 10 Strategic Trends for 2017

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Current Capabilities of Artificial Intelligence (AI)

Andrew Ng: Surprisingly, despite AI’s breadth of impact, the types of it being deployed are still extremely limited. Almost all of AI’s recent progress is through one type, in which some input data (A) is used to quickly generate some simple response (B)… … Continue reading

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The Smart Speakers Market

  A new study by Juniper Research has found that revenue from smart audio hardware will more than triple over the next four years, rising from an estimated $1.4 billion this year to over $5.5 billion by 2020. While Juniper … Continue reading

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