IBM
Case Studies
Darwin Ecosystem: Accelerating discovery and insight through cutting-edge big data and cognitive technologies
Overview
Darwin Ecosystem: Accelerating discovery and insight through cutting-edge big data and cognitive technologiesIBM |
Analytics & Modeling - Big Data Analytics Infrastructure as a Service (IaaS) - Cloud Computing | |
Software | |
Business Operation | |
Edge Computing & Edge Intelligence Predictive Maintenance Real-Time Location System (RTLS) | |
Cloud Planning, Design & Implementation Services Data Science Services | |
Operational Impact
A correlation task that used to take ten minutes using legacy open source streaming tools can be completed by IBM InfoSphere Streams in 3.2 seconds – even though the volume and velocity of data have tripled. | |
With performance like this, Darwin can deal with thousands of requests and process gigabytes of data every day – enabling it to grow its user-base by several orders of magnitude without significantly increasing its costs. | |
Quantitative Benefit
6-8 seconds to summarize new information from hundreds of articles, blogs and tweets | |
10 times faster results with IBM technology, compared to open source streaming tools | |
Hours saved by replacing manual research with near-real-time analysis of information | |