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

FinTech: South Korea, China, Thailand Lead in Mobile Payments

Source: Global Web Index

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AI Jobs and Required Skills

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Artificial Intelligence (AI) in the Enterprise

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How Companies Are Using IoT Now

Source: ZDNet

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Data is Eating the World: 163 Trillion Gigabytes Will Be Created in 2025

Source: Data Age 2025

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What Americans Know about Cybersecurity?

Source: Pew Research

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Progress in AI and its Future Development

A.T. Kearney: AI has achieved recent performance breakthroughs across numerous cognitive applications (Figure 7), from image classification to pattern recognition and ontological reasoning. This progress is due largely to convergent advances across three enablers: computing power, training data and learning … Continue reading

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Car Pool of the Future: 11 Million Shared Driverless Cars by 2030 and 35 Million Car-Sharing Registered Users by 2021

ABI Research: Fully driverless technology will spark a transformation of personal mobility, enabling consumers to abandon costly vehicle ownership and summon shared vehicles when needed. ABI Research predicts that this will transform the vehicle interior, which car manufacturers will design … Continue reading

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Big Data Landscape 2017: Big Data + AI = New IT Stack

Matt Turck: We’re witnessing the emergence of a new stack, where Big Data technologies are used to handle core data engineering challenges, and machine learning is used to extract value from the data (in the form of analytical insights, or … Continue reading

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Will Google Own AI? (4)

Norm Jouppi, Google: We’ve been using compute-intensive machine learning in our products for the past 15 years. We use it so much that we even designed an entirely new class of custom machine learning accelerator, the Tensor Processing Unit. Just … Continue reading

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