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

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

Posted in Data Science Careers, Data Scientists | Leave a comment

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

Posted in deep learning | Tagged | Leave a comment

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

Posted in AI, Data Science, deep learning, Machine Learning | Tagged | Leave a comment

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

Posted in AI | Tagged , | Leave a comment

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

Posted in Internet of Things | Tagged | Leave a comment

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

Posted in AI | Tagged | Leave a comment

Who is Buying All the AI Startups? Google, Intel, Apple, Twitter and Salesforce

CB Insights: Nearly 140 private companies working to advance artificial intelligence technologies have been acquired since 2011, with over 40 acquisitions taking place in 2016 alone (as of 10/7/2016). Corporate giants like Google, IBM, Yahoo, Intel, Apple and Salesforce, are … Continue reading

Posted in AI | Tagged | Leave a comment

Neural Networks Typology

Source: The Asimov Institute With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So … Continue reading

Posted in AI | Tagged | Leave a comment

IDC Survey Finds IoT is All About The Data

IDC just released the results of its 3rd annual survey of IoT decision-makers (press release here and webcast with IDC Vernon Turner and Carrie MacGillivray here). The IoT market is maturing, says IDC, going beyond its initial focus on connecting … Continue reading

Posted in Internet of Things, Misc | Tagged | Leave a comment

Only Humans Need Apply: Winners and Losers in the Age of Smart Machines

Under pressure to remove alleged human bias from its “Trending Topics” section, in August Facebook fired the editors who were selecting and writing headlines for the stories, explaining that this “will make the product more automated.” The results of trusting algorithms … Continue reading

Posted in Misc | Leave a comment