Darwin Ecosystem: Accelerating discovery and insight through cutting-edge big data and cognitive technologies
Customer Company Size
SME
Region
- America
Country
- United States
Product
- IBM InfoSphere Streams
- IBM Bluemix
- IBM Watson
- SoftLayer
Tech Stack
- IBM Analytics
- IBM Cloud
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Analytics & Modeling - Big Data Analytics
- Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
- Software
Applicable Functions
- Business Operation
Use Cases
- Edge Computing & Edge Intelligence
- Predictive Maintenance
- Real-Time Location System (RTLS)
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
Founded in 2007, Darwin Ecosystem creates innovative data exploration, discovery and research tools. Its temporal organic curation algorithms help people, businesses and governments gain awareness and insight into constantly evolving topics across multiple sources of unstructured data. The company was founded with a unique vision of harnessing chaos theory mathematics to uncover previously hidden connections in unstructured data. In layman’s terms, the company’s algorithms can look at all the data generated by any source (such as news, RSS feeds and Twitter), and analyze how a specific set of concepts within that data are evolving over time. This is particularly valuable in situations such as business and competitive intelligence, social research, brand monitoring, legal discovery, risk mitigation and even law enforcement.
The Challenge
Darwin Ecosystem was founded with a unique vision of harnessing chaos theory mathematics to uncover previously hidden connections in unstructured data. The company’s algorithms can look at all the data generated by any source (such as news, RSS feeds and Twitter), and analyze how a specific set of concepts within that data are evolving over time. This is particularly valuable in situations such as business and competitive intelligence, social research, brand monitoring, legal discovery, risk mitigation and even law enforcement. A common problem in these areas is that a regular web search will only turn up the all-time most popular answers to a given question – but what the expert researcher is actually interested in is the moment-tomoment evolution of the data available on that topic. Darwin’s algorithm is computationally intensive, and the sources of data it correlates can be vast. To bring its benefits to a larger commercial audience, Darwin needed to find a way to make it scale.
The Solution
The Darwin team was invited to IBM’s Thomas Watson Research Center in New York to see how IBM® InfoSphere® Streams and SoftLayer® technologies could transform its business. IBM InfoSphere Streams is specifically designed to distribute large volumes of incoming data efficiently across the available computing resources, and process it in real time. As a result, while testing the solution, Darwin saw a 10:1 performance increase in the time spent fetching, correlating and delivering data, compared to its existing open source streaming tools. Darwin moved its existing clients’ environments and other applications from another cloud provider’s platform to virtual machines running on a dedicated SoftLayer platform, and also set up a bare-metal SoftLayer environment to support its new API. The SoftLayer environments are hosted at a data center in the US, and provide high-performance, low-latency access to all of Darwin’s services from anywhere in the world.
Operational Impact
Quantitative Benefit
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