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

33 Million Voice Assistants by End of 2017 in US

2017 Platform Innovation Predictions: One or more of the platforms will enable direct person-to-person communication. Both Google and Amazon will release push notifications to proactively alert consumers of new updates. Google will introduce a compelling personal productivity offering, based on … Continue reading

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Fintech Disruption, Automation, and Incumbents

Financial Times: To both cut costs and keep hiring the best client-facing bankers, the Wall Street firm plans to replace many back-office roles, such as in data collection and processing, with computer systems that can do the same job quicker, … Continue reading

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World’s Most Innovative and Most Competitive Economies

Source: Bloomberg //widgets.weforum.org/global-competitiveness-report-2016/ Source: WEF

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2017 Tech Investment Priorities

IDG: In 2017, IT leaders will be increasing investments in numerous applications and platforms with business intelligence & analytics (71%), securing enterprise information assets (59%), CRMs (47%) and mobile enterprise apps (46%) leading the pack. Additionally, tech leaders shared their … Continue reading

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In Praise of Automation

The McKinsey Global Institute: The automation of activities can enable businesses to improve performance by reducing errors and improving quality and speed, and in some cases achieving outcomes that go beyond human capabilities. Automation also contributes to productivity, as it … Continue reading

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Questions about the self-driving car bubble

Artur Kiulian comments on Frank Chen’s 16 questions about self-driving cars: The major assumption is that “Everything that moves will go autonomous”, and we are not only talking about cars, all the trucks on our roads, drones in the sky, shopping … Continue reading

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AI, Big Data, IoT, Cybersecurity, And Jobs: 2017 Predictions From Senior Tech Executives

‘Tis the season for the public relations exercise known as “here’s what we think (or hope) will happen in the tech sector next year,” flooding my inbox with predictions for 2017. No one knows what will happen tomorrow, let alone … Continue reading

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Apple to Target 2.15 Billion Video Streaming Viewers

The Wall Street Journal reports that Apple plans to add video streaming of original content to Apple Music, escalating “the arms race between Apple Music and Spotify, which both offer essentially the same catalog of tens of millions of songs, … Continue reading

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Deep Learning at Google

Growing use of deep learning at Google In 2012, there was not much use of deep neural nets at Google. Over time, we built tools that other teams can pick up and use to solve their problems. The tools were … Continue reading

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CB Insights: 100 Most Promising AI Startups

Source: CB Insights

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