Data-driven + AI-enabled, decoding a new path for high-quality development of state-owned enterprise groups

The digital economy is playing an increasingly important role in promoting industrial upgrading, driving industrial innovation, leading market expansion, and creating talent demand. The 2025 Government Work Report mentioned digital economy-related content many times. When reviewing the key tasks for 2024, the report clearly pointed out that the added value of the core industries of the digital economy accounted for about 10% of the GDP.

As the main force in the construction of the digital economy, state-owned enterprises play a strategic supporting role in it. Under the strategic background of deepening the reform of state-owned enterprises and promoting high-quality development, the groupization and diversification of state-owned enterprises have become an important engine for the country's economic transformation. This requires state-owned enterprise groups to establish a more standardized and modern management system, coordinate various member units, optimize the allocation of internal resources, actively connect with external resources, and create new competitiveness.

On May 23, the "Vanity·Rebirth" 2025 NetEase Innovation Enterprise Conference was held in Hangzhou. At the same time as the conference, the Central State-owned Enterprises Forum with the theme of "Digital Intelligence Empowerment, Smart State-owned Assets" was held. Dozens of state-owned enterprise representatives from different industries across the country attended the meeting to discuss the digital transformation path of state-owned enterprises in the AI ​​era.

Li Sun, deputy director of the Artificial Intelligence Research Institute of China Academy of Information and Communications Technology, Wang Jiangwei, director of the Digital Technology Department of Zhejiang International Trade Group, Hou Liming, general manager of Renmin Zhongke, Feng Lei, deputy general manager of NetEase Digital Intelligence and general manager of NetEase Cloud Computing, and Sun Guoliang, director of the central state-owned enterprise industry of NetEase Cloud Computing, gave keynote speeches respectively.

At present, the digital economy has become the core engine to promote high-quality development. As the mainstay of the national economy, state-owned enterprises shoulder the important mission of deepening reform and leading innovation. Faced with the current wave of AI technology, as well as trends such as data factorization and refined supervision, how to achieve business upgrades through digitalization is a key issue in the digital transformation of state-owned enterprises.

Feng Lei, deputy general manager of NetEase Digital Intelligence and general manager of NetEase Cloud Computing , said that NetEase Cloud Computing has always regarded serving the digital transformation of state-owned enterprises as its strategic focus. In the past few years, NetEase Cloud Computing has deeply served nearly 100 large-scale digital projects in the fields of state-owned assets, energy, transportation, manufacturing, etc. , and has built a full-stack capability from underlying infrastructure to upper-level business innovation with many leading state-owned enterprises.

Feng Lei, Vice General Manager of NetEase Digital Intelligence and General Manager of NetEase Cloud Computing

In the current hot AI field, NetEase Cloud Computing began to lay out as early as 2018, actively exploring intelligent BI products, and launched capabilities such as table intelligent analysis, cluster analysis, trend analysis, and icon question and answer. With the advent of the generative AI wave, NetEase Cloud Computing officially released Trusted ChatBI in 2023 and has gradually completed its application in various industries.

In addition, NetEase Cloud Computing launched the NetEase Financial Agent, an intelligent financial assistant based on big model capabilities, at the conference. It has the ability to independently complete financial analysis reports, corporate health detection, profit analysis models, and abnormal financial data identification, achieving full-link penetration from data analysis to business insights to key decision support, so that every step of intelligent decision-making has a basis.

Finally, Feng Lei emphasized that in the AI ​​era, NetEase Cloud Computing’s role is not just a provider of data software services. We hope to take data expression "one step further" and become an enabler of data application value, helping companies integrate advanced software capabilities into specific business flows, allowing companies to better achieve digital transformation and deliver further value to customers.

Li Sun, deputy director of the Artificial Intelligence Research Institute of the China Academy of Information and Communications Technology, shared his research on the construction of high-quality data sets for artificial intelligence.

Li Sun believes that the construction of high-quality data sets is the key to improving the performance of AI models and has become a core element of the upgrade of artificial intelligence applications. However, at present, the construction of high-quality data sets still faces the three challenges of fuzzy target positioning, fragmented implementation paths, and weak technical foundations. He then shared the "five core elements" for enterprises to build artificial intelligence data engineering capabilities, covering system construction, development and maintenance, quality control, resource operations, compliance and trustworthiness , etc.

Li Sun, deputy director of the Artificial Intelligence Research Institute of China Academy of Information and Communications Technology

Li Sun proposed a "three-step" strategy for enterprises to build high-quality data sets. In the system planning stage , enterprises need to focus on resource knowledge indexing, map construction, and standard system construction to drive the systematic planning and construction of data sets; in the engineering construction stage , to build a high-quality data set production system, it is necessary to work together from three major directions. The data factory model lays the foundation for large-scale production, cutting-edge technology breaks through quality and scenario limitations, and ecological collaboration integrates external resources to jointly build a high-quality data set production system covering efficiency, quality, and innovation; in the quality monitoring stage , quantitative evaluation is used to lay the technical foundation, dynamic mechanisms are used to achieve process control, and continuous optimization of closed loops promotes iterative upgrades. The three work together to build a strict data quality assurance system.

Zhejiang International Trade Group is a state-owned enterprise in Zhejiang Province. It holds 4 listed companies and has nearly 30,000 employees. It ranks 261st among the top 500 Chinese enterprises in 2024. At the meeting, Wang Jiangwei, director of the Digital Technology Department of Zhejiang International Trade Group, delivered a keynote speech entitled "Digital International Trade, a Pathfinder for Intelligent Governance of Zhejiang State-owned Enterprises", and shared the path to digital transformation of state-owned enterprises using Zhejiang International Trade as an example.

Wang Jiangwei, Director of Digital Technology Department of Zhejiang International Trade Group

Wang Jiangwei introduced that in recent years, Zhejiang International Trade Group has focused on the strategic goal of "Digital International Trade", worked hard to build the group's overall intelligent governance system, promoted reforms in various fields and achieved remarkable results, and fully completed various tasks in the "strengthening the foundation and making up for the shortcomings" stage of digital international trade. Before building the data middle platform, the group still has room for improvement and optimization in multi-scenario support, data quality monitoring, data management, data value mining, and data warehouse architecture.

NetEase Cloud Computing has planned and implemented the "1+1+N" big data platform architecture for Zhejiang International Trade Group, supporting the full implementation of the group's 28 functional domains, helping the group to formulate standards and specifications, form a unified data language, and at the same time realize data asset sedimentation and enhance the value density of data assets.

Wang Jiangwei said that in the future, Zhejiang International Trade will continue to work with NetEase Cloud Computing to continuously explore the value of data assets and continuously promote the "data + AI" model innovation.

Hou Liming, general manager of Renmin Zhongke , shared his practical experience in the application and security of AI intelligent bodies for government and enterprises from the perspective of government and enterprises.

Hou Liming introduced that Renmin Zhongke was jointly initiated by People's Daily Online and the Institute of Automation of the Chinese Academy of Sciences, and is mainly engaged in the research and application of cross-modal artificial intelligence. He then introduced the current status of the application of AI agents in the government and enterprise fields from the perspectives of the national integrated online government service platform, business data analysis, internal control audit management, AI+sCRM×DMP and other cases.

Hou Liming, General Manager of Renmin Zhongke

In addition, Hou Liming emphasized that government and enterprise customers are most concerned about the security of AI agents. The security of AI agents needs to solve  six major trust issues : corpus trust, computing trust, model trust, knowledge trust, generation trust, and scenario trust .

In April this year, Renmin Zhongke and NetEase Cloud Computing jointly launched the industry's first trusted ChatBI all-in-one machine, providing safe and reliable localized smart office solutions for customers such as government agencies, universities, state-owned enterprises, and promoting the in-depth implementation of smart applications in key businesses.

In recent years, the State-owned Assets Supervision and Administration Commission of the State Council has promoted the transformation of supervision from "asset management" to "capital management", and clearly required the establishment of a supervision system covering all legal person levels and penetrating to the ultimate beneficial ownership. Intelligent penetrating supervision has become a new requirement.

Sun Guoliang, director of the central state-owned enterprise industry at NetEase Cloud Computing , said that the core of penetrating supervision lies in "penetrating the barriers of hierarchy, penetrating the information shield, monitoring the key points, and managing the pulse of risks." Its essence is to achieve horizontal and vertical supervision of state-owned assets through data and technical means.

Sun Guoliang, Director of Central SOE Industry at NetEase Cloud Computing

NetEase Cloud Computing has summarized an effective path for penetrating supervision construction after serving many state-owned enterprises. It has orderly promoted standard penetration, technology penetration, data penetration, and business penetration to create a "112N" system that meets the requirements of state-owned enterprise groups. Through flexible multi-level platform architecture, unified standards and specifications, integrated development and governance processes, multi-level global asset management and other capabilities, NetEase Cloud Computing is committed to helping state-owned enterprise groups promote digital development and penetrating supervision.

Under the wave of digital economy, state-owned enterprises are standing at a new historical starting point, shouldering the important task of leading industrial upgrading and promoting high-quality economic development. In the future, with the continuous deepening of AI technology, the efficient use of data elements and the continuous improvement of the regulatory system, state-owned enterprises will inject stronger momentum and vitality into the high-quality development of the social economy.