Guidelines for High-Quality Development in the Data Industry

Promoting High-Quality Development in the Data Industry

Recent guidelines issued by the National Development and Reform Commission, in collaboration with other departments, aim to steer the data industry towards high-quality development. These guidelines focus on several key areas, including the integration of cloud-edge-end computing technologies and fostering innovations in cloud-native technology models.

Establishing Robust Computing Service Capabilities

One of the primary goals of the guidelines is to reinforce computing service capabilities that effectively handle large-scale data aggregation. This includes:

• Real-time analysis of data
• Support for intelligent applications

Enhancing Storage Technologies

The guidelines further advocate for advanced research and development in new storage technologies. This initiative is particularly focused on:

• Facilitating large-scale and real-time cross-domain data storage
• Increasing the utilization of intelligent storage solutions

AI and the Data Lifecycle

In the realm of artificial intelligence, the guidelines emphasize the need to enhance the intelligence level across various stages of data - from collection to management and application. Notable highlights include:

• Improvement in data annotation techniques
• Advancements in data synthesis methods

Strengthening Core Technology Breakthroughs

Another critical component underlined in the guidelines is the importance of achieving breakthroughs in core technologies critical for data handling. This includes:

• Research and development in trusted circulation technologies
• Implementation of trusted data spaces
• Innovations in blockchain, privacy computing, and anonymization

Conclusion

In summary, the guidelines laid out by the National Development and Reform Commission represent a significant step towards modernizing the data industry in line with current trends and technological advancements. Emphasizing coordinated development and innovation, these initiatives are expected to propel the data industry towards a more efficient and intelligent future.