GA 407.1-2003
Active
T/AI 126.4-2024
Active
Group standards
T/AI 126.4-2024 Data Lake Part 4: Requirements for the Application of Artificial Intelligence Technology
T/AI 126.4-2024
Price:
$ 20.00
Basic Information
Standard Code:
T/AI 126.4-2024
Standard Type:
Group standards
Standard Status:
Active
is_force_gb:
no
CCS Name:
-
ICS Name:
The application of information technology in other fields
Publish Date:
2024-03-19
Implement Date:
2024-03-19
Scope
Scope: This document establishes the requirements for the application architecture of artificial intelligence technology in data lakes, and specifies the functional requirements and interface requirements of each component in the architecture. This document is applicable to the design and development of APIs for artificial intelligence technology applications in data lakes. Main technical content: The key technologies of "Data Lake Part 4: Technical Requirements for Artificial Intelligence Applications" include: (1) Privacy computing security technology research: Establish a traceable data security assurance mechanism to meet data security requirements. Based on federated learning technology, solve the problem of data collision in scenarios where data does not leave the domain, and propose methods for comprehensive data integration and incubation of high-value models. Based on trusted execution hardware and other encryption technologies, build a secure and trustworthy environment for model incubation after data leaves the domain, ensuring that data is available but invisible, and ensuring data privacy, security, and compliance. (2) Intelligent tiered storage technology: Considering the characteristics of cold and hot data tiering, on the one hand, there is a need for large-capacity and low-cost storage capabilities, and on the other hand, there is a need for fast data retrieval during training. Research on Blu-ray storage and magneto-optical-electrical integrated intelligent tiered storage technology stores massive data on low-cost Blu-ray media and preloads training data to high-throughput magnetic or electrical media. In addition, tiered storage also considers RAID high-reliability mechanisms, object automatic copying capabilities, and sensitive data encryption services, enhancing the robustness of the resource library and ensuring data storage security. (3) Distributed training and inference technology: Facing the challenges of large-scale parameter
Development Information
Same series standard
T/AI 126.2-2024 Data Lake Part 2: Interface of the Blu-ray Storage Resource Management System
T/AI 126.3-2024 Data Lake Part 3: Data Resource Management System
T/AI 126.5-2024 Data Lake, Part 5: Urban Governance Level Evaluation Model
T/AI 126.6-2024 Data Lake, Part 6: Interface for Traffic Emergency Command and Coordination Decision-making System
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