1、【阿里巴巴】拥有交易数据和信用数据,更多是在搭建数据的流通、收集和分享的底层架构。
2、【华为云服务】整合了高性能的计算和存储能力,为大数据的挖掘和分析提供专业稳定的IT基础设施平台,近来华为大数据存储实现了统一管理40PB文件系统
3、【百度】优势体现在海量的数据、沉淀十多年的用户行为数据、自然语言处理能力和深度学习领域的前沿研究。近来百度正式发布大数据引擎,将在政府、医疗、金融、零售、教育等传统领域率先开展对外合作。
4、【浪潮】互联网大数据采集中心已经采集超过2PB数据,并已建立5大类数据分类处理算法。近日成功发布海量存储系统的最新代表产品AS130000。
5、【腾讯】拥有用户关系数据和基于此产生的社交数据,腾讯的思路主要是用数据改进产品,注重QZONE、微信、电商等产品的后端数据打通。
6、【数点营销】大数据与AI驱动的商机挖掘平台。通过海量企业数据库和800万标签体系,构建全国1.8亿企业供应链知识图谱,打造出销售线索挖掘、销售预测、数字营销、客户管理等完整的智能销售产品矩阵和解决方案,帮助企业降低销售成本、有效提升销售效率。
7、【探码科技】自主研发的DYSON只能分析系统,可以完整的实现大数据的采集、分析、处理。一直做的国外项目美国最大的律师平台、医生平台和酒店、机票预订平台的数据采集、分析、处理。将在国内推出一系列面向政务、企业的创新型大数据研究项目与合作,为各大企业提供高端信息技术咨询服务。
8、【华胜天成】自主研发的大数据产品“i维数据”,颇具创新,近期又与IBM达成战略合作关系,涵盖Linux on Power市场、智慧城市、存储业务、管理服务、咨询与应用管理服务。
9、【神州数码】启动了“智慧城市”战略布局,先后推出了市民融合服务平台、自助终端服务平台等产品,并在佛山、武汉等“智慧城市”建设中实践运用
10、【拓尔思】通过收购天行网安,可以拓展在公安行业的应用,目前正着力开拓行业应用市场,挖掘各个产业链中的大数据价值。
1. [Alibaba] has transaction data and credit data, and is more focused on building the underlying architecture for data circulation, collection and sharing.
2. [Huawei Cloud Service] integrates high-performance computing and storage capabilities to provide a professional and stable IT infrastructure platform for big data mining and analysis. Recently, Huawei's big data storage has achieved unified management of 40PB file systems
3. [Baidu] The advantages are reflected in massive data, user behavior data accumulated over more than ten years, natural language processing capabilities and cutting-edge research in the field of deep learning. Recently, Baidu officially released its big data engine and will take the lead in conducting external cooperation in traditional fields such as government, medical care, finance, retail, and education.
4. [Inspur] The Internet Big Data Collection Center has collected more than 2PB of data and has established 5 major data classification and processing algorithms. Recently, the latest representative product of the massive storage system, AS130000, was successfully released.
5. [Tencent] has user relationship data and social data generated based on it. Tencent's idea is to use data to improve products, focusing on connecting the back-end data of products such as QZONE, WeChat, and e-commerce.
6. [Digital Marketing] Big data and AI-driven business opportunity mining platform. Through a massive enterprise database and 8 million tag systems, we have built a knowledge graph of the supply chain of 180 million enterprises across the country, and created a complete intelligent sales product matrix and solutions such as sales lead mining, sales forecasting, digital marketing, and customer management, helping companies reduce sales costs and effectively improve sales efficiency.
7. [Tanma Technology] The self-developed DYSON intelligent analysis system can fully realize the collection, analysis, and processing of big data. The foreign project we have been doing is the data collection, analysis, and processing of the largest lawyer platform, doctor platform, and hotel and air ticket booking platform in the United States. We will launch a series of innovative big data research projects and cooperation for government affairs and enterprises in China, and provide high-end information technology consulting services for major enterprises.
8. [Teamsun] The self-developed big data product "i-dimensional data" is quite innovative. Recently, it has reached a strategic cooperation relationship with IBM, covering the Linux on Power market, smart cities, storage business, management services, consulting and application management services.
9. [Digital China] launched the "smart city" strategic layout, and successively launched products such as citizen integration service platform and self-service terminal service platform, and put them into practice in the construction of "smart cities" such as Foshan and Wuhan.
10. [Toruis] can expand its application in the public security industry through the acquisition of Tianxing Network Security. It is currently focusing on developing the industry application market and tapping the big data value in various industrial chains.