See on Scoop.it – Corporate Challenge of Big Data
The “semantic Web” is hugely important to tomorrow’s business. Do not underestimate its significance: It truly changes everything. Embrace it, or risk extinction.
But what is it? And what does it mean for your business?
See on www.forbes.com
See on Scoop.it – Corporate Challenge of Big Data
Data scientists: Modern-day knowledge prospectors, panning for insight. How do we accelerate tomorrow’s business? How can tomorrow’s businesses mine data more effectively? How does relying on data get better results than judgment alone?
See on www.forbes.com
See on Scoop.it – Corporate Challenge of Big Data
Insurance companies are using big data solutions to accelerate the speed and increase the precision of catastrophe modeling, the process used to determine the exposure of current policies and probable maximum loss from a catastrophic event.
See on www.ibmbigdatahub.com
See on Scoop.it – Corporate Challenge of Big Data
The growth rate of Big Data revenue in 2012 was due to a number of factors, including:
An increased awareness of the benefits of Big Data as applied to industries beyond the web, most notably financial services, pharmaceuticals and retail;The maturation of Big Data software such as Hadoop, NoSQL data stores, in-memory analytic engines and massively parallel processing analytic databases;Increasingly sophisticated professional services practices that assist enterprises in practically applying Big Data hardware and software to business use cases;Increased investment in Big Data infrastructure by massive web properties – most notable Google, Facebook, and Amazon – and government agencies for intelligence and counter-terrorism purposes.
See on wikibon.org
See on Scoop.it – Corporate Challenge of Big Data
WHAT is the best way to display information? The data geeks at The Economist struggle with this question every day. On January 17th we produced a daily chart about…
See on www.economist.com
See on Scoop.it – Corporate Challenge of Big Data
Several days ago, a financial industry client told me that framing a right question to express a game-changing idea is extremely challenging: first, selecting a question from multiple candidates; second, breaking it down to many sub-questions; and, third, answering even one of them reliably. It is hard.
by Svetlana Sicular | January 22, 2013
See on blogs.gartner.com
See on Scoop.it – Corporate Challenge of Big Data
The US Transportation Security Administration is considering screening passengers based on behavioral profiles generated by commercial data brokers, according to new contracting notices.
See on www.nextgov.com
