Gartner Blog Network

Category: 'data-scientist' Blog Posts

from the Gartner Blog Network

Centaur Intelligence: Half-Human, Half Machine

by Svetlana Sicular  |  September 20, 2016

I call the symbiosis of a man and a machine Centaur Intelligence, in which the head is always human: people do at what they excel — curiosity, creativity and compassion....

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A Secret Sauce of Data Governance

by Svetlana Sicular  |  February 28, 2016

When Gartner clients ask me how to start data governance, they often expect some magic solution. And they are right — such magic exists: it’s the people. Find others —...

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Catalyst Makes You Look Smart: Big Data Analytics for Non-Data Citizens

by Svetlana Sicular  |  July 24, 2015

Analytics is exploding — it is becoming everybody’s domain, rather than an expert’s domain. The digital economy requires to expand your existing expertise with new knowledge. The digital economy is...

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Two Main Questions about Big Data

by Svetlana Sicular  |  April 16, 2015

More and more people describe the speed of big data technologies in dog years. In the lightning-fast cadence (“fail fast”), considerations for actual technical professionals who are deploying big data...

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Return of the Data Scientist

by Svetlana Sicular  |  March 27, 2015

I am convinced, data science was not born in 2008 — it’s just the term “data scientist” which has been coined that year.  I wrote a blog post Data Scientist...

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What’s Next for Big Data?

by Svetlana Sicular  |  December 23, 2014

Shortly after joining Gartner, I noticed subtle magic in the air. Not Magic Quadrants – they were too obvious. It was I told you so repeated by many analysts on...

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Big Data Is Entering the Age of Aquarius

by Svetlana Sicular  |  October 23, 2014

Suddenly, I realized: fluids are in, animals are out. The big data ecosystem has given up on its elephants, impalas and pigs in favor of aquatics.  Perhaps, the shift started...

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5+ Big Data Companies to Watch

by Svetlana Sicular  |  June 17, 2014

People often ask me if there is a magic quadrant for big data. There isn’t. What we have is a Hype Cycle for Big Data with abundance of big data...

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Big Data Quantity vs. Quality

by Svetlana Sicular  |  May 22, 2014

Increasing adoption of big data technologies brings about the big data dilemmas: Quality vs. quantity Truth vs. trust Correction vs. curation Ontology vs. anthology Data profiling, cleansing or matching in Hadoop or...

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Wall Street is Hiring for Big Data

by Svetlana Sicular  |  April 28, 2014

Big data finally reached Wall Street. Not for small science experiments, but seriously, in grand style, with exorbitant salaries, for production and DevOps. A couple of years ago, Silicon Valley companies...

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