Author Archives: GilPress
Machines vs. Models, Noise vs. Signal
An excerpt from Nassim Taleb’s forthcoming book, Antifragile, was posted yesterday on the Farnam Street blog. In “Noise and Signal,” Taleb says that “In business and economic decision-making, data causes severe side effects —data is now plentiful thanks to connectivity; … Continue reading
Facebook’s IPO and the Laws of Big Data
Without using any predictive analytics tools, I confidently predict that Facebook’s IPO will give rise to more vocal demands for people to “get a cut” of its—and other social media companies’—profits. People deserve, so the argument goes, a share of … Continue reading
The Reality of Big Data: Findings from Recent Surveys
Big data tools and technologies emerged first from the companies the Web gave birth to–Google, Facebook, Yahoo, and Amazon. No wonder that the term has become associated primarily with the ability to process and analyze large sets of unstructured, web-generated … Continue reading
Big Data Will Make IT the New Intel Inside
Tim O’Reilly famously declared in 2005: “Data is the next Intel Inside.” It well may be that big data—the organizational skill of using data as the key driver of performance—will make the IT function the new Intel Inside, the most … Continue reading
Upcoming Big Data and Data Science Events
From Data to Knowledge May 7-11, University of California, Berkeley
A Very Short History of Data Science
I’m in the process of researching the origin and evolution of data science as a discipline and a profession. Here are the milestones that I have picked up so far, tracking the evolution of the term “data science,” attempts to … Continue reading
New Research Reports on Big Data
Two new research reports on big data flash out its early impact on enterprise IT.
Domain Expertise vs. Machine Learning: The Debate Continues
“The startup’s three co-founders have backgrounds in engineering and data science, but not weather, and there are no meteorological models involved. By keeping weather predictions within a two-hour window, they believe statistics are sufficient.”–Mashable in “Can Statistics Predict Weather Without Meteorologists? … Continue reading
Data Science is so 1996!
Source: A History of the International Federation of Classification Societies
Graduate Programs in Big Data Analytics/Data Science
Updated list here Bentley University M.S. in Marketing Analytics DePaul University M.S. in Predictive Analytics