Companies that had collected unstructured data (texts, emails, reports, and so on), but had no idea about what to do once it was stored.
Even though Big Data is all the rage it’s rare that you’ll hear real case-studies from companies that are storing, processing and analyzing vast stores of data.
Continue reading… “Companies store data but have no idea what to do with it once it’s stored”
The value of data is only as good as the information and insights we can get from it. The information and insights will help us make better decisions and give us a competitive edge. The promise of big data is that one could glean lots of information and gain many valuable insights. However, people often don’t realize that data and information are not the same. Even if you are able to extract information from your big data, not all of it will be insightful and valuable.
Continue reading… “The fallacy of big data and why we need even bigger data”
“These models will predict your likelihood of separating from your employer based on everything we know about you and the position.”
You did everything by the book when you went in for that job interview. But, after going through all the effort, would you feel slighted if the interviewer made the ultimate decision about whether or not to hire you based on an algorithm?
NASA launches Big Data Challenge Series
NASA along with a couple other government agencies have kicked off a series of TopCoder challenges designed to find innovative solutions to the government’s big data problems. The first contest is all about making disparate, incompatible data sets usable and actually valuable across agencies.
Continue reading… “NASA launches Big Data Challenge”
Time to rethink the who, what, where, why and how of big data.
It is probably time to rethink the who, what, where, why and how of big data. There has been a surge of important news in the past couple weeks, where we are approaching a period of relative calm and can finally assess how the space has evolved in the past year. Here are the top five trends shaping up that should change almost everything about big data in the near future, including how it’s done, who’s doing it and where it’s consumed.
Continue reading… “Top 5 trends that are changing how we do big data”
Companies need to focus on making this big data fast, intuitive and easy to manipulate.
In the past year big data has become one of the most buzzed about topics, and potentially overhyped, phrases of the year. Big data has huge disruptive potential and the flood of attention should be no surprise. A recent IDC report stated that the business analytics software market grew by 14.1 percent in 2011 and will continue to grow to reach $50.7 billion in 2016, all driven by the focus on big data.
Continue reading… “Big data needs to be fast and diverse or it’s useless”
The shortage of data scientists is becoming a serious constraint in some sectors.
In June 2008 Jonathan Goldman arrived at LinkedIn for work, the business networking site still felt like a startup. LinkedIn had a little under 8 million accounts but that number was growing quickly. Users weren’t seeking out connections with the people who were already on the site at the rate executives had expected. Something was missing in the social experience. As one LinkedIn manager put it, “It was like arriving at a conference reception and realizing you don’t know anyone. So you just stand in the corner sipping your drink—and you probably leave early.”
Continue reading… “Data Scientist is the sexiest career of the 21st century”
Companies trade In hunch-based hiring for computer modeling.
When the Xerox Corp. was looking for workers to staff its call centers they used to pay lots of attention to applicants who had done the job before. Then, a computer program told the printer and outsourcing company that experience doesn’t matter.
Continue reading… “Big data is the new boss”
Big data
“Big data” – where does it come from? Why aren’t companies like Facebook and Google concerned about big data? The answer is that the web companies are the forerunners. Driven by social, mobile, and cloud technology, there is an important transition taking place, leading us all to the data-enabled world that those companies inhabit today.
The explosion in the use of Google, Facebook, Twitter and other services has resulted in the generation of some 2.5 quintillion bytes each day.
Paul Hawtin monitors more than 340 million Twitter posts flying around the world each day from his trading desk in London. He tries to assess the collective mood of the populace.
Continue reading… “‘Big data’ redefines trend-watching online”
By delving into the futuring techniques of Futurist Thomas Frey, you’ll embark on an enlightening journey.
Learn More about this exciting program.