Stream computing exploded in 2014 and we’ve got high expectations for 2015. The October 2014 IBM Institute for Business Value report found that real-time analytics is the leading big data requirement. What’s your prediction for the future of stream computing?
IBM and researchers at University of Alberta collaborate to accelerate analysis and prediction of climate changes from months to minutes. Using IBM’s InfoSphere Streams software, researchers are able to quickly ingest, correlate and analyze data as it arrives from more than 500 sensors implanted in
IT infrastructure—it's at the core of everything we do and who we are. Imagine a world without infrastructure: humans would be amorphous blobs, buildings would crumble, cities would be chaos. But, luckily for us, infrastructure does exist and it is the cornerstone of business. However, it's not
Sharath Cholleti, computer scientist at Emory University, declares that IBM and big data can play a big role to move the healthcare industry forward. Cholleti says the key is “the ability to execute lots of algorithms that can provide value to the patients and help clinicians take care of...
David Corrigan, director of IBM Infosphere product marketing, tells of using information in healthcare to intervene up to 24 hours earlier for serious illnesses. "Streaming analytics and stream computing offers a tremendous cost advantage when you are actually landing a huge volume of information
Mike Gualtieri, principal analyst at Forester Research, declares that, “consumers want to be treated like royalty.” This seems like a tall order. However, with all the data that customers share about themselves, the business that can quickly capture, analyze and act on this data “just in time, all
You have a lot happening in your day: a morning doctor’s appointment, a quick call into the help desk to resolve your laptop issue, an important strategy planning meeting at work, a trip to the grocery store to pick up some dinner and homework time with the kids. Ever stop and think “how do real-
Working journalists are locked into a never-ending race against time. Not only are reporters always up against deadlines, but they are constantly scrambling to make sure they break the news before the competition. As more people turn to online news sources (including, but not limited to traditional
Going, going...gone! That phrase has been used by auctioneers to indicate the final bid opportunity for a hot auction item. Now “going, going, gone” is being used in the world of big data. Why? Organizations realize that they need to act faster by analyzing streaming data and taking action in the
Watson Foundations, an IBM Big Data & Analytics Platform, presents Optimizing Operations; Countering Fraud & Threats with Vestas, the world's largest wind energy company. Vestas uses stream computing to know exactly where to place their wind turbines for more precise ROI forecasting and