To some engineers at IBM, the traditional approach to software analysis is far too inefficient. Data is collected and stored in a repository, and then software breaks off chunks of it to analyze. Some time later, the software spits out a result. But recent work at IBM is providing a better way: analyze the data as it’s collected. The concept is called stream computing and it could revolutionize industries like finance, health care, and weather monitoring, where real-time data and analysis can help people make better, faster decisions.
In April, IBM showed off a system that could analyze the constantly fluctuating value of stocks. Now the company is working toward developing a product, called System S, that could be applied to any field in which numbers need to be crunched quickly.
According to a recent New York Times story:
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