April 8, 2014
Or to analyze, act and then move on? It’s time for a more open relationship. Now announcing Streams v3.2.1.
December 16, 2013
Whether you call it stream computing, data in motion or real-time data, there’s no doubt that one of the most important aspects of big data is being able to capture, process and analyze data as it is happening.
November 26, 2013
Did you know that next year, 2014, the number of mobile phones in the world will exceed the number of humans? Are you ready for the rise of the cell phone?
November 1, 2013
In my last post, we explored how audience data sources from inside and outside of the media organization can be “unified and utilized” for game-changing applications such as demand forecasting f
October 22, 2013
As a kid, I used to love playing with puddles of water during rainy days (Unlike the millennials, we Gen-X did live closer to nature, didn’t we?). My favourite game was operating the “marbles cleaning factory.” The factory would get water from the puddle via my hand-constructed stream.
October 22, 2013
It seems like a “Back to the Future” moment. Here we are with the IBM InfoSphere Streams v3.2 announcement, the latest version of our product for handling stream computing and complex event processing.
October 14, 2013
We know data is omnipresent in our world; that’s no secret. By now, most are familiar with the “Vs” of big data – volume, variety, velocity and veracity. Organizations are finding innovative ways to harness big data for competitive advantage.
October 2, 2013
The telecommunications industry has dealt with big data for years, for example tracking individual wires into peoples’ homes and places of business.
September 23, 2013
Recently, various publications including the Times of India, the Wall Street Journal, Reuters and CNET (just to name a few) have been abuzz with news of IBM’s partnership with international automotive supplier Continental.