|
Context Relevant is a big data analytics startup based in Seattle, Washington, US.〔(【引用サイトリンク】 title=Company Overview of Context Relevant, Inc. )〕 Founded in 2012 and led by Chris Kelley, the company sells on-premises software, cloud services, and professional service solutions to help businesses accelerate analysis and actionable insight.〔 As of September 26, 2014, Context Relevant has raised $42 million in total investment. ==Product== Context Relevant has developed an analytics system that ingests data, determines what’s important, and creates a problem-specific solution that can be deployed while continually learning.〔 The proprietary high-performance machine learning technology accelerates analytics and actionable insight.〔 Problem-specific Behavioral Analytics Libraries provide an out-of-the-box experience that reduces the workload on users building complicated models.〔〔 Deployment options include public or private clouds, traditional servers, and Hadoop clusters.〔〔 Currently available Behavioral Analytics Libraries include solutions for Online Revenue Optimization, Content Prediction, Data Quality Management and Finance. Scale-out, in-memory technology allows smart caching for small or huge datasets using more computers to parallelize the efforts, as needed.〔〔 Context Relevant's software has been applied to various industries, including finance. The information gathered through the technology helps clients predict activity based on observed trends. It is useful for calculating prices and other risks at high speed. The system can also detect fraud quickly. 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Context Relevant」の詳細全文を読む スポンサード リンク
|