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

430 AI Startups in Israel

Posted on November 1, 2017 by GilPress

The number of startups using AI technology has nearly tripled in size since 2014, and based on a three year average growth rate, 95 new AI startups are founded each year in Israel. Almost 300 startups were founded between 2014 … Continue reading →

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Machine Learning Definition

Posted on October 6, 2017 by GilPress

Source: XKCD

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Timeline of the Internet of Things (IoT)

Posted on October 2, 2017 by GilPress

See also A Very Short History Of The Internet Of Things

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The Chatbots Landscape

Posted on October 1, 2017 by GilPress

Source: Venturebeat

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Biggest Fintech Opportunity

Posted on September 23, 2017 by GilPress
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Only 23% have Implemented AI

Posted on September 21, 2017 by GilPress
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Barriers to AI Adoption

Posted on September 7, 2017 by GilPress

Sloan Management Review: The gap between ambition and execution is large at most companies. Three-quarters of executives believe AI will enable their companies to move into new businesses. Almost 85% believe AI will allow their companies to obtain or sustain … Continue reading →

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Digital Transformation: China As Number One

Posted on September 6, 2017 by GilPress

 

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Only 16% say their company is well prepared for the challenge of IoT security

Posted on September 5, 2017 by GilPress

Source: McKinsey  See also Security Ledger

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Richard Socher, Salesforce (Emerging AI Leaders Series)

Posted on August 29, 2017 by GilPress

“AI teaches us who we are,” says Richard Socher. The recent rapid progress in the field of artificial intelligence is the result of successfully processing “a large amount of known training data, doing things [the computer] has seen before,” he … Continue reading →

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