Brian Voytek recently wrote an article regarding the increasingly plausible concept of automated science made possible by Big Data. Voytek writes, “A lot of great pieces have been written about the relatively recent surge in interest in big data and data science, but in this piece I want to address the importance of deep data analysis: what we can learn from the statistical outliers by drilling down and asking, ‘What’s different here? What’s special about these outliers and what do they tell us about our models and assumptions?’” continued…
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Rob Styles has written an article regarding how semantic technologies can be effectively applied to the third V of Big Data: variety. (The other two Vs are volume and velocity.) Styles writes, “That third V of the Big Data puzzle is... Read Post
Shomit Ghose recently wrote an article for Forbes regarding the inextricably linked future of tech and Big Data. Ghose writes, “In physics, the second law of thermodynamics states that all systems seek to evolve so as to either mini... Read Post