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

Big Data Friday: Borasky’s Law

Murphy’s Law: Anything that can go wrong, will go wrong. O’Toole’s Corollary: Murphy was an optimist. Sturgeon’s Law: 95 percent of everything is crap. Mencken’s Law: Nobody ever went broke underestimating the intelligence of the American public. Borasky’s Law: Sturgeon … Continue reading

Posted in Misc | Leave a comment

The Big Data Landscape Revisited

Bruce Reading, CEO of VoltDB, has an interesting and original take on the big data landscape. Last year, Dave Feinleib published the Big Data Landscape, “to organize this rapidly growing technology sector.” One prominent data scientist told me “it’s just a bunch of … Continue reading

Posted in Big Data Analytics, Big Data Landscape, Big data market | Leave a comment

The Big Data Debate: Correlation vs. Causation

In the first quarter of 2013, the stock of big data has experienced sudden declines followed by sporadic bouts of enthusiasm. The volatility—a new big data “V”—continues this month and Ted Cuzzillo summed up the recent negative sentiment in “Big … Continue reading

Posted in Big Data Analytics, Data Science | Tagged | Leave a comment

Scenarios for the Future of the IT Industry

In November 1998, I sent to my then-colleagues at EMC an email with the subject line “The Demise of Dell.” I wrote: “My fail-proof crystal ball just talked to me again: By the end of 2000, Dell’s market cap (today at $80B) will be … Continue reading

Posted in Predictions | Leave a comment

Who’s Big in Big Data? (Infographic)

Source: Datasift

Posted in Big Data Analytics, Big data market, Infographics | Leave a comment

Big Data: A Revolution that Will Transform How We Live, Work, and Think

Viktor Mayer-Schönberger and Kenneth Cukier, authors of the just-published Big Data: A Revolution that Will Transform How We Live, Work, and Think,  reacted sharply when I asked them if they are cheerleaders for big data, as one reviewer implied. ”We … Continue reading

Posted in Big Data Analytics, Big Data Futures, Data Science, Data Scientists | Leave a comment

Big Data Analytics and Data Science at Netflix (Video)

Chris Pouliot, the Director of Analytics and Algorithms at Netflix: “…my team does not only personalizations for movies, but we also deal with content demand prediction. Helping our buyer down in Beverly Hills figure out how much do we pay … Continue reading

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

LinkedIn’s Daniel Tunkelang on How to Interview a Data Scientist

Tunkelang: The O’Reilly Strata Conference brings together an incredible community of people working on big data. This year, I decided to do something different for my presentation. Rather than talk about science or technology, I addressed the practical problem of interviewing the candidates … Continue reading

Posted in Big Data Analytics, Big Data Jobs, Data Science, Data Science Careers, Data Scientists | Leave a comment

Cool Data Scientists on Campus

Hal Varian:  “Data availability is going to continue to grow. To make that data useful is a challenge. It’s generally going to require human beings to do it.” Source: Carl Bialik, “Data Crunchers Now the Cool Kids on Campus,” The Wall … Continue reading

Posted in Big Data Analytics, Big Data Education, Big Data Jobs, Data Science Careers, Data Science Education, Data Scientists, Statistics | Leave a comment

Vincent Granville’s 66 job interview questions for data scientists

  What is the biggest data set that you processed, and how did you process it, what were the results? Tell me two success stories about your analytic or computer science projects? How was lift (or success) measured? What is: … Continue reading

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