达尔文生态系统：通过尖端大数据和认知技术加速发现和洞察
公司规模
SME
地区
- America
国家
- United States
产品
- IBM InfoSphere Streams
- IBM Bluemix
- IBM Watson
- SoftLayer
技术栈
- IBM Analytics
- IBM Cloud
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Digital Expertise
技术
- 分析与建模 - 大数据分析
- 基础设施即服务 (IaaS) - 云计算
适用行业
- Software
适用功能
- 商业运营
用例
- 边缘计算与边缘智能
- 预测性维护
- 实时定位系统 (RTLS)
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
Darwin Ecosystem 成立于 2007 年，致力于开发创新的数据探索、发现和研究工具。其时间有机策展算法可帮助个人、企业和政府了解和洞察多个非结构化数据源中不断变化的主题。该公司成立的独特愿景是利用混沌理论数学来发现非结构化数据中以前隐藏的联系。通俗地说，该公司的算法可以查看任何来源（如新闻、RSS 提要和 Twitter）生成的所有数据，并分析这些数据中的一组特定概念如何随时间演变。这在商业和竞争情报、社会研究、品牌监控、法律发现、风险缓解甚至执法等情况下尤其有价值。
挑战
Darwin Ecosystem 成立的初衷是利用混沌理论数学来揭示非结构化数据中以前隐藏的联系。该公司的算法可以查看任何来源（如新闻、RSS 提要和 Twitter）生成的所有数据，并分析这些数据中特定概念集如何随时间演变。这在商业和竞争情报、社会研究、品牌监控、法律发现、风险缓解甚至执法等领域尤其有价值。这些领域的一个常见问题是，常规网络搜索只会显示给定问题最受欢迎的答案 - 但专家研究人员真正感兴趣的是该主题可用数据的即时演变。达尔文算法计算量大，它关联的数据源可能非常广泛。为了将其优势带给更大的商业受众，达尔文需要找到一种方法来扩大其规模。
解决方案
Darwin 团队受邀前往位于纽约的 IBM Thomas Watson 研究中心，了解 IBM® InfoSphere® Streams 和 SoftLayer® 技术如何改变其业务。IBM InfoSphere Streams 专门设计用于在可用计算资源之间高效分配大量传入数据，并实时处理这些数据。因此，在测试该解决方案时，与现有的开源流式传输工具相比，Darwin 在获取、关联和交付数据所花费的时间上实现了 10 倍的性能提升。Darwin 将其现有客户的环境和其他应用程序从另一家云提供商的平台迁移到在专用 SoftLayer 平台上运行的虚拟机，并设置了一个裸机 SoftLayer 环境来支持其新 API。SoftLayer 环境托管在美国的数据中心，可从世界任何地方提供对 Darwin 所有服务的高性能、低延迟访问。
运营影响
数量效益
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