数据堂DATATANG品牌怎么样申请店铺

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数据堂DATATANG在人工智能AI行业中的票数：173 更新时间：2025-04-03

数据堂DATATANG是哪个国家的品牌？「数据堂DATATANG」是数据堂(北京)科技股份有限公司旗下著名品牌。该品牌发源于北京市，由创始人齐红威在2010-08-26期间创立，经过多年的不懈努力和高速发展，现已成为行业的标杆品牌。

外推网助力数据堂DATATANG品牌出海！通过在本页面挂载数据堂DATATANG品牌的产品链接和联系邮箱，可以提高数据堂DATATANG产品曝光！跨境电商爆单神器，目前只要100元/年哦~

数据堂，专注于人工智能数据服务，专注于为全球人工智能企业提供数据获取及数据产品服务，推动人工智能技术、应用和产业的创新。为客户提供涵盖语音、图像、文本等全类型人工智能数据定制服务及解决方案，是数据堂旗下主要核心业务。

数据堂成立于2011年，专注于人工智能数据能力服务，专注于为全球人工智能企业提供数据获取及数据产品服务。

数据堂拥有8家全资和控股子公司，并在硅谷下设美国子公司，总部位于北京，目前在南京、镇江、天津、保定等地设有多个专业数据处理中心。数据堂创始及合伙人来自Stanford University、NEC、腾讯、华为等高校、以及互联网和高科技公司。公司基于人工智能数据与生产服务平台主要提供三种核心服务，一是数据定制服务，场景数据，按需定制，通过数加加平台连接全球百万劳动力为客户提供数据的采集和标注服务；二是提供人工智能数据集产品；三是提供人工智能数据处理平台私有化部署服务，服务的领域包括生物认证、语音识别、无人驾驶、智能家居、智能制造、新零售、智能医疗、智能交通、智能安防等。

Datalab, focusing on AI data services, focuses on providing data acquisition and data product services for global AI enterprises, and promoting the innovation of AI technology, application and industry. Providing customers with all kinds of artificial intelligence data customization services and solutions, including voice, image, text, etc., is the main core business of Datang. Datalab was founded in 2011, focusing on data capability services of artificial intelligence and providing data acquisition and data product services for global artificial intelligence enterprises. Datatang has 8 wholly-owned and holding subsidiaries, and has a U.S. subsidiary in Silicon Valley. Headquartered in Beijing, datatang currently has a number of professional data processing centers in Nanjing, Zhenjiang, Tianjin, Baoding and other places. The founding partners of datagram are from Stanford University, NEC, Tencent, Huawei and other universities, as well as Internet and high-tech companies. Based on the AI data and production service platform, the company mainly provides three core services: first, data customization service, scenario data, customization on demand, data collection and annotation service for customers by connecting millions of global labor force through the digital plus platform; second, providing the AI data set products; third, providing the AI data processing platform privatization deployment service Business areas include biometrics, speech recognition, driverless, smart home, intelligent manufacturing, new retail, intelligent medical, intelligent transportation, intelligent security, etc.

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