下载PDF
Everlytics Data Science
概述
公司介绍
一支由具有强大数据科学背景的响应和协作的个人组成的团队。客户聘请 Everlytics 来构建和开发将大数据和/或机器学习作为差异化组件的解决方案。 Everlytics 具有管理从不同来源整理数据和构建可扩展分析平台方面的挑战所需的能力。
物联网解决方案
面向所有人的预测分析Everlytics 通过处理错综复杂的问题并为其客户提供对解决方案的完全定向控制来简化统计建模和预测科学。通过多年的集体经验，Everlytics 可以通过达到问题的最佳设计和方法、选择正确的建模技术并保持最终解决方案的高度相关性和可操作性，将业务问题转化为支持分析的解决方案。大数据上的机器学习构建大数据生态系统不仅仅是创建一个可以在几秒钟内存储和查询 TB 级数据的系统。它还涉及使用该处理能力来构建创新的机器学习解决方案以预测未来的结果。所有大数据工具都提供库来执行机器学习任务。 Everlytics 是使用此类工具以及即兴创作和构建新算法的专家，大数据后端公司采用大数据不是因为他们想要，而是因为传统系统无法处理大数据工具可以处理的处理速度和数量.我们的客户依赖我们来构建和实施他们的大数据平台。典型的参与始于对适当技术堆栈的咨询。例如， • 哪个 MPP 后端适合存储和查询毫秒级金融代码数据？ • 适合大数据图的存储和查询引擎（OLTP 和OLAP）？ • 在亚秒内索引和搜索 TB 的文本数据。等等。
物联网应用简介
Everlytics Data Science 是应用基础设施与中间件, 和 分析与建模等工业物联网科技方面的供应商。.
技术栈
Everlytics Data Science的技术栈描绘了Everlytics Data Science在应用基础设施与中间件, 和 分析与建模等物联网技术方面的实践。
-
设备层
-
边缘层
-
云层
-
应用层
-
配套技术
技术能力:
无
弱
中等
强
同类供应商.
Supplier
Sight Machine
Sight Machine specializes in manufacturing analytics and used by Global 500 companies to make better, faster decisions about their operations. Sight Machine's analytics platform, purpose-built for discrete and process manufacturing, uses Artificial Intelligence, Machine Learning, and advanced analytics to help address critical challenges in quality and productivity throughout the enterprise. The platform is powered by the industry's only Plant Digital Twin, which enables real-time visibility and actionable insights for every machine, line, and plant throughout an enterprise. Founded in Michigan in 2011 and expanded to the Bay Area in 2012, Sight Machine fuses the spirit of Silicon Valley technology innovation with rock-solid Detroit manufacturing. Our team includes the founders of Slashdot along with leadership from early Yahoo, Palantir, Tesla, Cisco, IBM, McKinsey, and Apple.
Supplier
NarrativeWave
NarrativeWave takes real-time operational data & auto-generates business insights to impact business decisions. NarrativeWave is the "last mile of analytics".NarrativeWave provides F1000 Industrial Manufacturers and their customers (Utilities, Airlines, Power Generation Plants, Railroads, Heavy Equipment owners) with real-time operator intelligence to increase profitability of service contracts, decrease labor costs, reduce unplanned downtime, improve workforce optimization, and enhance customer service.
