What is stream computing?
Stream computing delivers real-time analytic processing on constantly changing data in motion. It enables descriptive and predictive analytics to support real time decisions. Stream computing allows you to capture and analyze all data - all the time, just in time.
Data is all around us – from social media feeds to call data records to videos – but can be difficult to leverage. Sometimes there is simply too much data to collect and store before analyzing it. Sometimes it’s an issue of timing – by the time you store data, analyze it, and respond – it’s too late.
Stream computing changes where, when and how much data you can analyze. Store less, analyze more, and make better decisions, faster with stream computing.
Organizations struggle to:
How Stream Computing helps your enterprise:
University of Southern California Annenberg Innovation Lab
Gains insight into public sentiment with near-real-time analytics of social media streams
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Dublin City Council
Leverages the leading edge of IBM Smarter Cities research to reduce traffic congestion
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Develops real-time semiconductor manufacturing process control with IBM InfoSphere Streams
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Cutting edge, real-time patient monitoring systems
The Emory University Hospital ICU is using a new patient monitoring system that allows clinicians to acquire, analyze, and correlate medical data at a volume and velocity that has never before been possible.
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InfoSphere Streams wins the IT Innovation Award for Operational Intelligence
New! InfoSphere Streams Quick Start Edition
Download and use InfoSphere Streams Quick Start Edition in your non-production environment. No time limit, no data limit and experiment with your own use cases.
Big Data and UCLA tackle brain trauma
UCLA, Excel Medical tackle big data in efforts to uncover preventative treatments for patients with traumatic brain injuries (TBI's).
IBM InfoSphere Streams real time analytic processing
IBM InfoSphere Streams – a 60-second overview
IBM Stream computing for smarter healthcare