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

Machine Learning Definition

Posted on October 6, 2017 by GilPress

Source: XKCD

Posted in Machine Learning | Leave a comment

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

Posted in Internet of Things | Leave a comment

The Chatbots Landscape

Posted on October 1, 2017 by GilPress

Source: Venturebeat

Posted in Chatbots | Leave a comment

Biggest Fintech Opportunity

Posted on September 23, 2017 by GilPress

Posted in Misc | Tagged Raconteur | Leave a comment

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 →

Posted in AI | Tagged SMR | Leave a comment

Digital Transformation: China As Number One

Posted on September 6, 2017 by GilPress

Posted in digital transformation | Leave a comment

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

Posted in Internet of Things | Leave a comment

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 →