“ It's not just the fact that you can do this 100 times faster than before. It's that you can begin to treat your data with a fair degree of discrimination and refine data concerning multiple phases in a way that was not previously possible. ”
Dr. N. Stewart McIntyre, Professor Emeritus of Chemistry University of Western Ontario
“ IBM SmartCloud Analytics helped detect 100% of the major incidents that occurred, including silent failures, and helped us eliminate manual thresholds, which will result in a cost avoidance of $300,000 USD annually. ”
Chris Smith, Director, Tools and Automation, Consolidated Communications Holdings, Inc
“ Improvement of about 16% in forecast accuracy in the first three days with InfoSphere Streams. ”
Dr. Kostas Kalpakis, Department of Computer Science and Electrical Engineering, UMBC
“ We improved performance 12X using InfoSphere Streams with IBM Opportunity Detection. ”
IBM Distinguished Engineer
“ CenterPoint Energy saved 700,000 gallons of fuel and lowered costs for consumers by $24M USD. ”
Dr. Steve Pratt, Corporate Technology Officer
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:
Consolidated Communications Holdings, Inc.
Uses predictive insights to save $300,000 USD/year
Read the case study (683.7KB)
Dublin City Council
Leverages the leading edge of IBM Smarter Cities research to reduce traffic congestion
Read the case study (853KB)
Develops real-time semiconductor manufacturing process control with IBM InfoSphere Streams
Read the case study (695KB)
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.
Register for the webcast
Read the press release
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.
IBM powers the Smart Grid at CenterPoint Energy
CenterPoint Energy powers 2.3M smart meters with IBM InfoSphere Streams
Globe Telecom: Winning customers over
Globe Telecom slashes development time from 6 months to 30 days and improves marketing campaigns 600% using IBM InfoSphere Streams
IBM InfoSphere Streams real-time analytic processing
IBM InfoSphere Streams – a 60-second overview