Six departments jointly issue guidelines to promote high-quality development of the data industry: A detailed explanation
Six departments jointly issue guidelines to promote high-quality development of the data industry: A detailed explanationThe National Development and Reform Commission, the Ministry of Industry and Information Technology, the Ministry of Public Security, the Cyberspace Administration of China, the National Energy Administration, and the People's Bank of China recently jointly issued the "Guiding Opinions on Promoting the High-Quality Development of the Data Industry" (hereinafter referred to as the "Guiding Opinions"). The aim is to drive high-quality development of the data industry and provide strong support for the construction of a digital China
Six departments jointly issue guidelines to promote high-quality development of the data industry: A detailed explanation
The National Development and Reform Commission, the Ministry of Industry and Information Technology, the Ministry of Public Security, the Cyberspace Administration of China, the National Energy Administration, and the People's Bank of China recently jointly issued the "Guiding Opinions on Promoting the High-Quality Development of the Data Industry" (hereinafter referred to as the "Guiding Opinions"). The aim is to drive high-quality development of the data industry and provide strong support for the construction of a digital China. The Guiding Opinions propose numerous key measures for data industry development, covering aspects such as computing technology, storage technology, artificial intelligence, and data security, charting a course for the future development of the data industry.
Firstly, the Guiding Opinions emphasize vigorously promoting the collaborative development of cloud-edge-end computing technologies. This requires achieving efficient collaboration between cloud computing, edge computing, and terminal computing, fully leveraging their respective strengths. Cloud computing boasts powerful computing and storage capabilities; edge computing reduces latency and processes real-time data; and terminal computing enables personalized and offline processing. The collaborative development of these three will satisfy data processing needs in different scenarios, better supporting data aggregation, real-time analysis, and intelligent applications. Simultaneously, the Guiding Opinions also support technological innovation in models such as cloud-native, which will further enhance the efficiency and flexibility of cloud computing, better adapting to the needs of data industry development.
Secondly, the Guiding Opinions emphasize the research and development and application of new storage technologies. With the continuous growth of data volume, traditional storage technologies are no longer sufficient. Therefore, the Guiding Opinions propose strengthening the research and development of new storage technologies, such as distributed storage and object storage, to support large-scale, real-time cross-domain data storage and flow. At the same time, it is necessary to improve the usage rate of intelligent storage, utilizing artificial intelligence technology to optimize storage resource management, improve storage efficiency, and reduce storage costs.
To better serve the development of artificial intelligence, the Guiding Opinions propose improving the intelligence level of data acquisition, governance, and application. This includes using artificial intelligence technology to improve data acquisition efficiency, using machine learning technology for data cleaning and annotation, and using deep learning technology for data analysis and application. Furthermore, the Guiding Opinions strengthen core technological breakthroughs in data annotation and data synthesis, which will provide high-quality data support for the training of AI models.
Data security and trustworthy circulation are also key focuses of the Guiding Opinions. The Guiding Opinions propose accelerating the research and development and application promotion of trustworthy data spaces, blockchain, privacy computing, and anonymization technologies. These technologies can effectively guarantee data security, prevent data leakage and misuse, and simultaneously promote the secure sharing and circulation of data, driving the healthy development of the data element market. Trustworthy data spaces can provide a secure and reliable environment for data storage and sharing; blockchain technology can ensure data immutability and traceability; privacy computing technology allows data analysis and application while protecting data privacy; and anonymization technology can desensitize data, reducing the risk of data leakage.
In summary, the Guiding Opinions provide a clear path and direction for the high-quality development of the data industry. By promoting the collaborative development of cloud-edge-end computing technologies, strengthening the research and development of new storage technologies, improving the intelligence level of data, and strengthening data security and trustworthy circulation technologies, the data industry will have a more solid foundation and broader development space, injecting new vitality into the prosperous development of the digital economy. The implementation of the Guiding Opinions will have a profound impact on the future development of China's data industry, and the positive changes it brings are worth anticipating. Its detailed planning and clear goals undoubtedly provide important strategic guidance for China's construction of a powerful digital economy. In the future, with the continuous maturation and application of these technologies, the data industry will surely usher in a period of even more vigorous development.
Tag: Six departments jointly issue guidelines to promote high-quality development
Disclaimer: The content of this article is sourced from the internet. The copyright of the text, images, and other materials belongs to the original author. The platform reprints the materials for the purpose of conveying more information. The content of the article is for reference and learning only, and should not be used for commercial purposes. If it infringes on your legitimate rights and interests, please contact us promptly and we will handle it as soon as possible! We respect copyright and are committed to protecting it. Thank you for sharing.