Examples of using Analytics applications in English and their translations into Chinese
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NVIDIA GPUs are widely used in deep learning, artificial intelligence(AI)and accelerated analytics applications.
目前，NVIDIA图形处理器(GPU)广泛应用于深度学习、人工智能(AI)、加速分析应用等技术。Specifically, it introduced 12 analytics applications powered by Qlik.
特别是，该项目引入了由Qlik提供的12个分析应用程序。Data analytics applications should use available technologies to help end users succeed.
It also adds support for building analytics applications through Docker containers.
它还增加了对通过Docker容器构建分析应用程序的支持。Web analytics applications can also help measure the results of traditional print advertising campaigns.
Web分析应用程序还可以帮助企业衡量传统的印刷广告活动的效果。Businesses are archiving more data than ever before,both to meet regulatory requirements and to feed into business analytics applications.
企业存档的数据比以往都更多，以满足法规要求和馈入业务分析应用程序。Video analytics applications attempt to take advantage of the abundant information in the everyday world for several reasons.
视频分析应用试图利用日常世界中丰富的信息资源，出于几个原因考量。Other Playground investments include deep learning infrastructure,health analytics applications, smart wifi devices, and more.
Playground的其他投资还包括深度学习基础设施、健康分析应用软件、智能Wifi设备等等。Big data analytics applications often rely on a growing number of internal and external data sources containing both structured and unstructured data.
大数据分析应用通常依赖于越来越多的内部和外部数据源，其中包括结构化和非结构化数据。More specifically, AI will begin to see fruition, particularly in the imaging diagnostic, drug discovery,and risk analytics applications.
更具体地说，人工智能将开始看到成果和回报，特别是在成像诊断、药物发现和风险分析应用方面。NVLink makes it easier for developers to modify high-performance and data analytics applications to take advantage of accelerated CPU-GPU systems.
NVLink让开发者能够更轻松地修改高性能与数据分析应用，以便充分利用加速的CPU-GPU系统。And UncannySurveillance-an Award-winning AI-based surveillance solution targeted at challenging security& analytics applications.
以及UncannySurveillance--这是一项基于人工智能的监控解决方案，目标是挑战安全与分析应用。Real-time analytics applications are typically run on databases like NoSQL, which are massively scalable and can be supported with commodity hardware.
实时分析应用通常会运行在例如NoSQL之类的数据库上，通常都能支持海量可扩展的商用硬件上。Like other Hadoop-related technologies, HDFS has become a key tool for managing pools of Big Data andsupporting Big Data analytics applications.
像其他Hadoop相关技术一样，HDFS已经成为管理大型数据集群以及支持大数据分析应用的主要工具。Python is quickly becoming a popular,general-purpose language for writing analytics applications, so it's no wonder it's becoming common in AI applications. .
Python正在迅速成为编写分析应用程序的流行通用语言，也难怪它在AI应用程序中变得常见。Document databases provide the richest query functionality,which allows them to address a wide variety of operational and real-time analytics applications.
文檔数据库提供了最丰富的查询功能，使他们能够处理各种各样的操作和实时分析应用程序。As data analytics applications tap additional functionality, they should implement these innovations in the context of easy-to-use features accessible by process experts.
当数据分析应用程序挖掘其它功能时，应该在过程专家可以访问的易于使用的功能环境中实现这些创新。After dabbling in entrepreneurship, interactive media and journalism,he moved to silicon valley to build analytics applications at scale at Ning and LinkedIn.
在涉足创业，互动媒体和新闻工作后，他前往硅谷，为Ning和LinkedIn建立大规模分析应用。In addition to improving video communications and video analytics applications, this provides a stable input on which to build high quality, interactive applications. .
除了改进了视频通信和视频分析应用程序外，还提供了生成高质量、交互式应用程序所需的稳定输入。Business analysts, data scientists, and decision-makers use business intelligence(BI) tools, SQL clients,and other analytics applications to access the data.
业务分析师、数据科学家和决策者通过商业智能(BI)工具、SQL客户端和其他分析应用程序访问数据。Business intelligence and analytics applications, as well as geospatial applications, could add a joint statistics and spatial functionality to their existing suite of tools and applications. .
商业情报和分析应用以及地理空间应用也能将统计和空间的共同功能添加到它们现有的工具和应用组合。Business analysts, data scientists, and decision makers access the data through business intelligence(BI) tools, SQL clients,and other analytics applications.
业务分析师、数据科学家和决策者通过商业智能(BI)工具、SQL客户端和其他分析应用程序访问数据。The database software sits at the center of many corporate IT environments, supporting a mix of transaction processing,business intelligence and analytics applications.
数据库软件位于许多企业IT环境的中心，支持各种事务处理，商业智能和分析应用程序。
