GB/T 45907-2025 in English
VALIDArtificial intelligence—Service capability maturity assessment
- Issued on:2025-06-30
- Implemented on:2025-06-30
- File Format:PDF
- Delivery:Via email within 5 business days
$422.00
| Standard No: | GB/T 45907-2025 |
| Document status: | VALID |
| Title in English: | Artificial intelligence—Service capability maturity assessment |
| Title in Chinese: | 人工智能 服务能力成熟度评估 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 5 business days |
| Issued on: | 2025-06-30 |
| Implemented on: | 2025-06-30 |
| ICS Classification: | 35.240-Applications of information technology |
| Chinese Classification: | L70-Information processing technology in general |
| Professional Classification: | GB-National Standard |
| Related Topics: | Service capabilities
Baidu artificial intelligence Baidu and AI artificial intelligence experiment Seongdong Artificial Intelligence Volume production maturity assessment |
《GB/T 45907-2025人工智能 服务能力成熟度评估》由TC28（全国信息技术标准化技术委员会）归口，TC28SC42（全国信息技术标准化技术委员会人工智能分会）执行，主管部门为国家标准委。
Introduction
Analysis of the Standard Framework
| Capability Domain | Core Capability Items | Evaluation Dimensions |
|---|---|---|
| Basic Capabilities | Storage | Management/Diversity/Distributed Scaling |
| Computing | Cluster Efficiency/Stability/Scalability | |
| Structured Data Processing | Timeliness/Explainability | |
| Machine Learning | Full Lifecycle/Training Performance | |
| Business Capabilities | Intelligent Speech | Recognition Rate/Synthesis Quality |
| Natural Language Understanding | Semantic Analysis/Knowledge Graph | |
| Intelligent Dialogue | Multimodal Interaction/Emotional Support | |
| Image and Video Analysis | Recognition Accuracy/Business Expansion |
Maturity Level System
The standard divides AI service capabilities into 5 levels:
- Initial Level: Basic capabilities meet the minimum requirements
- Development Level: Basic capabilities reach a medium level
- Robust Level: Business capabilities simultaneously reach a medium level
- Excellent Level: Basic capabilities reach the highest standards
- Exceptional Level: Both capability domains meet the highest requirements
Special requirements for medical scenarios
In intelligent medical diagnosis and treatment scenarios:
- The weight of data structured processing is increased to 70%
- The weight of image recognition capability accounts for 60%
- Voiceprint recognition is not mandatory
Key technical indicators
| Capability sub-items | Excellence-level standards | Test methods |
|---|---|---|
| Speech recognition | >90% recognition rate | Multiple signal-to-noise ratio environment testing |
| Knowledge graph | Cross-domain construction | Multi-language support verification |
| GPU training | Support distributed training | Parallel computing verification |
Implementation recommendations
Enterprise implementation path
- Gap analysis: Evaluate the current situation against the standards
- Capacity building: Prioritize filling the gaps in basic capabilities
- Scenario adaptation: Adjust weights according to business scenarios
- Continuous iteration: Establish a regular evaluation mechanism
Taking predictive maintenance of industrial equipment as an example, the following should be strengthened:
- Data structured processing capabilities (70%)
- Image recognition accuracy (50% weight)
- System stability indicators
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