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Yazzoom
从数据中创造价值
概述
公司介绍
Yazzoom 是一家软件、数据科学和工程公司，专门为工业应用提供机器学习和人工智能解决方案。
除了定制的高级数据分析软件，Yazzoom 还开发了两种标准产品：预测建模软件套件和用于机器数据异常检测的人工智能解决方案。
物联网解决方案
机器、设备和工业设备产生越来越多的数据，这些数据更容易使用物联网收集。这些数据充满了难以提取的有价值信息。
Yazzoom 的机器数据分析和异常检测解决方案 YANOMALY 使用人工智能自动学习正常的机器操作并检测传感器数据和日志文件中的异常情况
它用于（远程）监控机器并及早发现技术问题，加速（远程）诊断机器故障的根本原因并减少平均维修时间，提取机器组的典型使用模式以改进下一代的设计和工程等等。
由于其灵活的架构和与数据无关的机器学习算法，它在各种机器和数据类型方面拥有良好的记录：工业生产线（连续和批处理流程、机器人驱动的离散制造）、医学成像设备、网络和电信基础设施、支持物联网的公用事业网络、发电厂系统、消费者连接设备……
物联网应用简介
Yazzoom 是平台即服务 (paas), 分析与建模, 和 自动化与控制等工业物联网科技方面的供应商。.
技术栈
Yazzoom的技术栈描绘了Yazzoom在平台即服务 (paas), 分析与建模, 和 自动化与控制等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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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
IntelliSense.io
IntelliSense.io aims to be the PARTNER of choice for industrial infrastructure owners & operators, to deliver a step change in productivity and efficiency within their plants, processes & people. They create Internet of Things (IoT) Applications to improve productivity and efficiency in capital and asset-intensive industries.Year founded: 2013
Supplier
Near-Miss Management (NM)
Near-Miss Management LLC provides a uniquely effective, enterprise risk detection and advanced warning platform for the process and energy industries. Our approach is based on identifying near-misses, hidden in volumes of process data recorded in plants. Patented analytics rip through millions of data points to identify developing problems at very early stages and allow operating teams to avert unexpected failures through timely corrective actions.Described as 'disruptive innovation’ by customers, our methods are enabling proactive management to increase both safety and profitability. Our technology has been developed through years of research in solving common challenges faced by industrial facilities – providing us a unique expertise in risk management, near-miss management and big data analytics technology.
