The digital and intelligent transformation of various industries is a key measure to activate the value of data elements and help the development of my country's digital economy. On June 28, 2022, it was guided by China Academy of Information and Communications Technology (hereinafter referred to as " China Academy of Information and Communications Technology ") and China Communications Standards Association , and hosted by the China Communications Standards Association Big Data Technology Standards Promotion Committee (CCSA TC601) The "2022 Big Data Industry Summit" was held in Beijing. Zhang Jianlun, Director of the Digital Economy Promotion Division of the Information Technology Development Department of the Ministry of Industry and Information Technology, Yu Xiaohui, President of the China Academy of Information and Communications Technology, and Wu Bingmei, Deputy Secretary-General of the China Communications Standards Association attended the meeting and delivered speeches. Big data industry experts from all over the country attended the meeting. The conference released a number of research results from China Academy of Information and Communications Technology and related institutions in the field of digital intelligence and , helping to further accelerate my country's digital intelligence transformation process.
Zhang Jianlun pointed out in his speech that the report of the 19th National Congress of the Communist Party of China clearly proposed the strategic goal of "building a network power, a digital China, and a smart society", and relevant plans in the field of industry and information technology during the "14th Five-Year Plan" have been released one after another. The Information and Development Department of the Ministry of Industry and Information Technology attaches great importance to the digital transformation work in various fields. By actively promoting the implementation of the Data Management Maturity Maturity (DCMM) standard, it has laid a solid foundation for the subsequent digital transformation work in various industries. In the future, it is hoped that the industry will continue to deepen the Implement the national data intelligence strategy, strengthen technological product innovation, deepen industry integration and application, and jointly optimize the industrial development environment.
Yu Xiaohui emphasized in his speech that data has become a new production factor. Activating the value of data elements is a key move to promote the development of my country's digital economy, optimize the allocation of resources in the field, and drive enterprises to reduce costs and increase efficiency. CAICT closely focuses on the country's major strategic needs and continues to deepen its research on data assets and data elements, forming a series of results in data infrastructure, data asset management and data security governance. It will continue to expand and deepen relevant research to assist the industry. develop.
Wu Bingmei pointed out in her speech that data has been integrated into the economic value creation process together with other elements, and has had a broad impact on the development of productivity. China Communications Standards Association has vigorously promoted the formulation of standards in key areas such as big data, and has released a series of industry standards and group standards. In particular, TC1 and TC601 have formed a good foundation in data intelligence. In the next step, the association will solidly formulate key standards for big data, continue to promote the depth and breadth of big data standardization, and continuously enhance the international influence of standards work.
He Baohong, director of the Institute of Cloud Computing and Big Data of the China Academy of Information and Communications Technology, released the "Top Ten Big Data Keywords in 2022". He Baohong pointed out that as data officially becomes a factor of production, in 2022, policies, concepts, technology, security and other aspects in the field will flourish around this main line. In terms of policy, "data elements unify the large market and the maturity of data management capabilities" further improves the top-level design; in terms of concepts, "data middle platform, data valuation, DataOps" continue to consolidate the theoretical foundation of enterprise digital transformation; in terms of technology, "innovation type database, privacy computing all-in-one machine, and graph computing" strongly support the value mining and efficient circulation of data elements; in terms of security, "data security compliance, data classification and classification" promote further clarity of the red line of the data industry.
Tao Tao, deputy general manager of China Mobile Information Technology Center, Liu Jingfang, general manager of the data management department of China Construction Bank, Wei Tao, vice president of Ant Group, Ye Jian, manager of the data center business unit of China Unicom Software Research Institute, and general manager of the digital finance department of Guotai Junan Securities Assistant Yin Zhenxing, Vice President of Yunyi Li Nan, Tencent Cloud Big Data senior product expert Lu Xiao, and Alibaba Cloud Global Technical Services Department technical director Huang Huanhuan respectively shared relevant theme reports focusing on the digital transformation of enterprises.
Wei Kai, deputy director of the Institute of Cloud Computing and Big Data of the China Academy of Information and Communications Technology, released the "Database Development Research Report (2022)" and the "Global Database Industry Map".Based on the research and analysis of the domestic and foreign database industries, the 2022 database research report focuses on the development trend of the global database industry, my country's database policies, potential database technology hotspots, database applications in key areas, etc., and also analyzes the development trends of the global database industry. The development of database is summarized and prospected. The "Global Database Industry Map" provides all sectors of the industry with a one-stop information base on global database development.
Jiang Chunyu, deputy director (in charge) of the Big Data and Blockchain Department of the Cloud Computing and Big Data Institute of the China Academy of Information and Communications Technology, released the Enterprise Data Intelligence (EDMM) standard system, the "China Digital Intelligence Industry Map" and the China Academy of Information and Communications Technology's Digital Intelligence Elf (DataKIT) applet. The EDMM standard system provides normative guidance for the digital intelligence of Chinese enterprises. The industrial map provides a baseline for the current status of the digital intelligence industry of Chinese enterprises. The DataKIT applet provides an information distribution platform for the digital intelligence of Chinese enterprises. All three results will be beneficial to our country. The digital and intelligent transformation of enterprises plays a key supporting role.
Li Xueni, deputy director of the Big Data and Blockchain Department of the Cloud Computing and Big Data Institute of the China Academy of Information and Communications Technology, released the "Data Security Products and Services Map 1.0". The map includes 301 data security products and services from 70 companies from four major sections: data security protection testing, data security operation and maintenance, data security sharing and circulation, and data security services. It shows the current status of the data security market and standardizes it. It brings together both supply and demand parties’ understanding of data security products and services, and can provide a reference for selection work.
Ma Pengwei, deputy director of the Big Data and Blockchain Department of the Institute of Cloud Computing and Big Data of the China Academy of Information and Communications Technology, released the "CAICT Big Data Series Standard Results in the First Half of 2022". In the first half of 2022, China Academy of Information and Communications Technology formed a total of 21 new standards focusing on the four major areas of data infrastructure, data governance , data security, and data applications, covering technical product capabilities, enterprise service delivery, enterprise application processes and other categories.
Liu Yanmei, an engineer at the Big Data and Blockchain Department of the Institute of Cloud Computing and Big Data, China Academy of Information and Communications Technology, released the "Research Report on Service Capabilities of Data Platform Suppliers". The report focuses on the construction and implementation service process of data platform, details the industrial background, core content and implementation points of data platform construction services, researches and analyzes the current status of supplier service capabilities, and puts forward suggestions for the future development of data platform suppliers. .
Tian Jiafeng, Department of Big Data and Blockchain, Institute of Cloud Computing and Big Data, China Academy of Information and Communications Technology, released the "Practical Guide for Data Infrastructure Disaster Preparedness." The guide summarizes the best practices in disaster recovery system construction, forms a methodology, provides suggestions on the entire process of disaster recovery system construction and project management, analyzes typical problems and common misunderstandings in the system construction process, and helps various industries and institutions standardize disaster recovery systems. The construction process helps the digital transformation of to "fast and stable".
The results of the fourteenth batch of China Academy of Information and Communications Technology’s “Trusted Big Data” series of evaluations were officially announced. This batch of evaluations added new evaluation projects such as overall data platform solutions, graph computing platforms, and cloud-native data lakes. A total of 33 companies 43 products/services passed relevant evaluations. Wang Zhuo, senior business director of the Cloud Computing, Big Data and Blockchain Department of China Academy of Information and Communications Technology, interpreted the results of the "Trusted Big Data" assessment.
The first batch of China Academy of Information and Communications Technology’s Enterprise Data Intelligence (EDMM)-the first batch of evaluation results of enterprise digital marketing capabilities were officially announced. The companies that passed the evaluation include Bank of Beijing , CITIC Construction Investment , Taikang Group, Shenzhen Rural Commerce, There are 9 companies including Guotai Junan , Arctic Ocean , Guangxi Radio and Television, Guizhou Colorful, and Shanghai Oriental Media. Li Junyi from the Cloud Computing, Big Data and Blockchain Department of China Academy of Information and Communications Technology interpreted the first batch of evaluation results. At the same time, the conference also set up a data security and data asset forum to present the panoramic view of digital intelligence development in various industries from multiple perspectives, and invited enterprise IT managers, industry experts, and well-known scholars to share their opinions and conduct more professional and in-depth discussions.In the future, China Academy of Information and Communications Technology will continue to promote the development of China's digital intelligence industry through standards, research, evaluation, tool development, etc.
