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

9 Categories of Data Scientists

DataViz: Those strong in statistics: they sometimes develop new statistical theories for big data, that even traditional statisticians are not aware of. They are expert in statistical modeling, experimental design, sampling, clustering, data reduction, confidence intervals, testing, modeling, predictive modeling … Continue reading

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Fintech Financing Worldwide 2010-2015

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Updated Laws of Robotics

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Digital Tipping Point: Internet Advertising Surpassing TV Advertising in 2016

On October 27, 1994, HotWired, the first commercial Web magazine, gave birth to the first Web banner ad and the Internet advertising industry. PwC predicts that Internet advertising revenues worldwide will surpass TV advertising in 2016 and reach $260.4 billion in … Continue reading

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The Evolution of Data Scientists, 2006-2016

Gaurav Vohra, CEO & Co-founder Jigsaw Academy: Here are my predictions for 2021. Machine learning and deep learning will become much more popular. More data and better processing power will enable a lot more analysis of different data. Those who … Continue reading

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DeepBench from Baidu: Benchmarking Hardware for Deep Learning

At the O’Reilly Artificial Intelligence conference, Baidu Research announced DeepBench, an open source benchmarking tool for evaluating the performance of deep learning operations on different hardware platforms. Greg Diamos and Sharan Narang of Baidu Research’s Silicon Valley AI Lab talked … Continue reading

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Visually Linking AI, Machine Learning, Deep Learning, Big Data and Data Science

Source: Battle of the Data Science Venn Diagrams HT: KDnuggets What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning? Over the past few years AI has exploded, and especially since 2015. Much of that has to do with the … Continue reading

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Maana Deploys AI to Optimize Enterprise Knowledge at Maersk

Does your company suffer from corporate amnesia? Palo Alto, California-based startup Maana has developed a cure for what ails organizations everywhere: Knowledge of how to perform a certain task or make a specific decision walks out the door with employees … Continue reading

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40 Startups in the IoT in Retail Market Landscape

CB Insights: Beacon- and sensor-based analytics – These companies provide hardware and software to help stores track visitors. They focus on data collection for internal analytics, such as merchandise tracking, adjusting staffing levels, monitoring promotions, etc. Euclid Analytics, for example, … Continue reading

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Artificial Intelligence: Enterprise Adoption by Industry

AI Trends: In terms of plans to deploy AI commercially in the near future (before the end of 2018), healthcare is clearly the vertical sector in which the largest percentage of companies worldwide will take action, followed by the consumer … Continue reading

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