It’s a new year, and you know what that means. Resolutions are set, reflections are high and if you’re like me, you’re trying to find new ways to make life a bit simpler. Thanks to the IBM Big Data Quick Start Program, you can make your big data life simpler in 2014 as well.
Tell me this, when it
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. This is the velocity component of anybody’s definition of big data.
Unlike data that’s
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?
It can be overwhelming, but smart telecommunications providers are turning call record data into actionable insight. How? By using predictive
Telecommunications service providers are facing new and difficult challenges. They need to serve increasingly demanding customers, support advanced mobile technology and handle unprecedented spikes in network traffic. Analytics of big data in motion delivers tangible business value including
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. It was quite
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. Yet 5 years ago this month, we had IBM System S v3.2. Looking back, we had three manuals for
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. But if you stop and think about it, what we are really
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. On September 10, at the Frankfurt International Motor Show, IBM and
And the winner is..... InfoSphere Streams!
IBM has been around for a long time, in fact over 100 years. Throughout the decades, IBM has changed the way we live, work and play. Radically new innovations have transformed our world. For example, IBM’s hierarchical database was invented for the Apollo
During a recent conference, I had the privilege of speaking with clients from many different organizations about their big data challenges. Most were very excited and just starting down the path of harnessing its power. Tempering this excitement was a concern about the complexity of big data
Media and entertainment companies are in the midst of a fundamental shift in audience engagement. Traditionally, the best way to reach key audiences was to broadcast to millions of people. But in the age of streaming content, social media, and mobile devices, audiences are now looking for a more
IBM data scientists break big data into four dimensions: volume, variety, velocity and veracity. This infographic explains and gives examples of each.
For additional context, please refer to the infographic Extracting business value from the 4 V's of big data.
Explore the IBM Data and AI portfolio
"Data in motion" is one of the key aspects of big data. Being able to harness and use data in real time as it flows through sensors and systems has many applications, from improving call-center operations to preventing manufacturing malfunctions. Watch as Roger Rea, product manager of Infosphere