Author Archives: GilPress
5 Minutes on the Myth of the Data Science Platypus (Video)
[youtube=http://www.youtube.com/watch?v=9f-XXR9j6m8&w=420&h=315] “Data science is in danger of being a fad. Data scientists need to build a reputation for providing actual value”–Kim Stedman
The CIO Interview: Annabelle Bexiga, TIAA-CREF
“Innovation is everyone’s job,” Annabelle Bexiga, EVP and CIO at TIAA-CREF told me recently. “The most mundane thing,” says Bexiga, “even stacking servers in the data center, can be innovative if you can think of a different way of doing … Continue reading
The OED, Big Data, and Crowdsourcing
The term “big data” was included in the most recent quarterly online update of the Oxford English Dictionary (OED). So now we have a most authoritative definition of what recently became big news: “data of a very large size, typically to the extent that its … Continue reading
Big Data Observations: The Science of Asking Questions
“I am a firm believer that without speculation there is no good and original observation”—Charles Darwin “It is the theory that determines what we can observe”—Albert Einstein “I suspect, however, like as it is happening in many academic fields, the … Continue reading
Visualising the Road to Becoming a Data Scientist
Source: Swami Chandrasekaran
The Digital Marketing Landscape: 2 Views
Source: Gartner Source: chiefmartec.com
A Practical Introduction to Data Science Skills (Video)
Google’s Michael Manoochehri at DataEDGE 2013 presenting an introduction to data analysis and suggestions for how to become a data scientist (his notes for the presentation are here). [youtube=http://www.youtube.com/watch?v=rpwZ_i-9U0o&w=560&h=315]
Big Data Quotes: Einstein, Come Back When You’ve Got Data
“Big data is what happened when the cost of storing information became less than the cost of making the decision to throw it away”—George Dyson (quoted by Tim O’Reilly) “If the engineers have their way, every idea, memory, and feeling—the … Continue reading
Big Data Quotes: Disruptive Innovation?
“By definition, big data cannot yield complicated descriptions of causality. Especially in healthcare. Almost all of our diseases occur in the intersections of systems in the body. For example, there is a drug that is marketed by Elan BioNeurology called … Continue reading
Big Data, Small World: Kirk Borne at TEDxGeorgeMasonU (Video)
Kirk Borne is Professor of Astrophysics and Computational Science in the George Mason University School of Physics, Astronomy, and Computational Sciences (SPACS). Turns out he is the father of the term “unknown unknowns” – things we do not know we … Continue reading