Real-time Analytics
Zhongkewenge needed scalable cloud infrastructure for data-intensive media, city-governance, and decision-intelligence products. Its workloads involved frequent large-scale storage reads, multilingual and multimodal AI processing, and customer-facing systems that required better cost efficiency and operations focus than self-managed infrastructure could provide.
Reported impact
Zhongkewenge gained a cloud foundation that can support large data volumes and frequent analysis without distracting the team from its core AI products. The company has continued to scale industry products and customers while Alibaba Cloud absorbs more of the infrastructure burden behind them.
Zhongkewenge partnered with Alibaba Cloud to run its media- and decision-intelligence platforms on cloud infrastructure built around ECS big-data instances. The company's products combine data intelligence, AI, and decision engines across media operations, city governance, financial analysis, and broader enterprise scenarios, including the Red Flag intelligent media operating system and the Tianhu big-data intelligence platform. To support those workloads, Alibaba Cloud ECS provides the core compute layer and helps Zhongkewenge build a cloud Hadoop environment for high-frequency data reads and large-scale log analysis. Business-system logs flow into Hadoop for analytics, while analysis results can be stored in MySQL or NoSQL systems such as HBase, MongoDB, and Redis for serving. This lets Zhongkewenge focus on product and algorithm innovation while running multilingual, multimodal AI and data-analysis services on a more elastic and cost-effective cloud foundation.
Multilingual media and operational data is collected into Zhongkewenge's AI and data platforms, transmitted into a Hadoop big-data system on Alibaba Cloud for analysis, and then served back to applications through MySQL or NoSQL stores. Those outputs support media workflows, city-governance dashboards, and decision-intelligence products.
Alibaba Cloud ECS big-data instances were used to build a high-cost-performance Hadoop system, where business logs are analyzed and results are then stored in MySQL or NoSQL databases. (original: 阿里云服务器ECS基于ECS大数据实例构建高性价比、海量可扩展的云端Hadoop系统，业务系统产生日志等数据传输到Hadoop大数据存储进行分析，分析结果可以存放在MySQL或NoSQL(HBase/MongoDB/Redis)等数据库。)
The company has accumulated more than 3000 self-developed core algorithms and serves more than 500 customers with products such as Red Flag and Tianhu. (original: 中科闻歌累计拥有自研核心算法3000余项、智能分析组件百余个... 中科闻歌红旗产品，获得... 五百余家客户认可。)
Zhongkewenge said its platforms provide multilingual, cross-modal, and deep-cognition data and AI services across media, city governance, finance, and commercial scenarios. (original: 面向数智城市、数智媒宣、数智安全、数智金融、数智商业等领域，提供多语言、跨模态和深度认识智能的大数据与人工智能基础平台及解决方案。)
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