Author Archives: GilPress
Big Data: Who, Why, and How (Infographic)
“Early adopters of Big Data analytics have gained a significant lead over the rest of the corporate world. Examining more than 400 large companies, we found that those with the most advanced analytics capabilities are outperforming competitors by wide margins.” … Continue reading
DataKind’s Jack Porway on Data Science
[youtube=http://www.youtube.com/watch?v=Mm1RplOU0cQ&w=560&h=315] “If you leave an excited data scientist on his own to solve a problem, he’s going to solve his own problem – which is usually parking his car, or finding a bar to drink at. The trick that we … Continue reading
What Will Make You a Big Data Leader?
The IBM Institute for Business Value’s 2013 analytics survey surveyed 900 business and IT executives from 70 countries. “Leaders” (19% of the sample) were respondents self identified as “substantially outperforming their market or industry peers” in a question used by the IBM Institute for Business … Continue reading
The Digitization of IT
In many companies today, the “consumerization of IT” is turning into the “Digitization of IT.” The spreading of consumer technologies and services into the workplace is being expanded into a larger set of IT practices, borrowed from Silicon Valley innovators … Continue reading
SAS CTO on Big Data and Big Compute
“One of my biggest challenges,” Keith Collins told me recently, “is helping SAS understand how to communicate to IT organizations. We present workloads which look odd and different. IT does not know how to have an SLA (Service Level Agreement) around them. … Continue reading
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