The unfathomable scale of the universe we inhabit strains everybody’s powers of imagination. Trying to analyze the forces that shape it all, across all scales, is probably the greatest scientific challenge that humanity will ever face.
Geospatial analytics is usually focused on the nearest nook of
Data science has been called the "sexiest profession of the 21st century." Well known big data evangelist James Kobielus describes what a data scientist is and does, what paradigms and practices one must know and what skills and knowledge one should possess. He also questions if the typical "sexy
Openness is where the world is headed. It’s the core principle in truly agile governance of a dynamic, complex, smarter planet.
Openness means many things to many people. From a big-data perspective, we can break down the key dimensions of openness as follows:
Open platform and ecosystems: Open-
Hilary Mason is the "chief scientist emeritus" at Bitly, co-founder of HackNY, and an adviser to Accel Partners. She is also a curious data scientist, which is one factor that has led to her being one of the most influential people in her field. She talked with us about what it takes to be a top
You don’t often think of data scientists as “programmers,” per se, but they are the pivotal application developers in the age of big data.
What, after all, is a “programmer”? Wikipedia’s definition of “programming” is instructive: “the comprehensive process that leads from an original formulation
Businesses are plunging headlong into the age of social listening analytics without fully thinking through the many issues surrounding the quality of this intelligence. There is plenty of valuable customer intelligence to be had from filtering the social firehose. However, the overwhelming volume,
Modern business thrives on fresh ideas from a skilled pool of data professionals, ranging from data scientists to business subject-matter experts. Data-driven organizations succeed when all personnel—both technical and business—have a common understanding of the core big-data best skills, tools and
Few people become data scientists to get rich. If that’s their overriding goal, they tend to gravitate toward enterpreneurship and, possibly, partnerships with well-established rockstar data scientists (who, at that stage in their careers, probably do expect to get filthy rich beyond their wildest
"Data scientist" has been called the "sexiest job of the 21st century," but what exactly is a data scientist and what does one do? Big Data Evangelist James Kobielus explains by way of shooting down 10 myths about the role.
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The top 10 blogs from the first half of 2013 show you are interested in learning how to get started with big data – especially if you’re in the banking industry – and looking at just what it is that gives a data scientist that elusive star power. It’s also clear that good blog posts have long legs
We’re continuing our look at the most popular content on IBM Big Data Hub for the first half of 2013. Here are the most-watched videos.
Big Data, Big Opportunities for Communications Service Providers
Big Data, Big Opportunities: Energy & Utilities
T-Mobile: Network Engineering Success
With one half of 2013 behind us, let’s take a look at what has been on the top of your mind over those six months. All week long, we will be reviewing the most read, most watched and most listened to content on IBM Big Data Hub. Today, we’ll look at the top 10 most popular podcasts.
Top 5 Big
Data science is a human craft, demanding just as much nuanced judgment and intuitive technique as you’d expect from any skilled artisan.
One of the downsides of using the word “science” in this context is that people think that statistical analysis is just some sort of cut-and-dried laboratory
Is data a religion?
I think that’s a ridiculous notion, but it has recently gained credence in the popular mind. Some people seem to believe that a powerful elite regards data-driven management as an absolute faith. Here, for example, is a Washington Post article arguing that the current president
Everybody these days wants to monetize their big data—and why not? You know that on some level your data is valuable. If it weren’t, you wouldn’t be investing so much in the acquisition and analysis of it all.
But is big data truly monetizable? This utopian vision can break your heart if you let it