Infographic: Healthcare is challenged by large amounts of data in motion that is diverse, unstructured and growing exponentially. Data constantly streams in through interconnected sensors, monitors and instruments in real-time faster than a physician or nurse can keep up.
Despite the rise in popularity of big data technologies like Hadoop, organizations today face a serious big data skills shortage. In this video, Christy Maver of IBM Big Data marketing discusses how the IBM Big Data Quick Start Program provides free, non-production downloads of key big data
Hadoop for the Enterprise: Quick. Easy. Free. Get your hands on IBM’s enterprise-grade features to start experimenting with Hadoop today. InfoSphere BigInsights combines the power of Hadoop with enterprise-grade features including visualization & exploration, advanced analytics, and security
Big data is driving massive changes in healthcare. Hear from Hear from Founder and Director of Emory Center for Clinical Care Dr. Tim Buckman and Executive VP and CFO of the largest health care delivery system in the George, Matt Muhart. Both deliver better safer care at lower costs with big data
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
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 for Opening Weekend Box Office (OWBO) using big data analytics.
Our results showed that IBM achieved high
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
Technology vendors often tout their "real-time" products - but what does "real time" really mean? And is it what you need? Tom Deutsch compares real time to "customer time," which he says is the more meaningful measure: delivering the performance in the amount of time that it's needed and can be
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