【华为】2024年政府与公共事业行业智能化架构白皮书_82页_17mb

Public Services Intelligent Transformation White Paper Summary

Core Content

This white paper outlines Huawei's vision for the intelligent transformation of public services, emphasizing the importance of aligning government and public sector agencies with data sharing, technological adoption, and AI utilization. It presents a comprehensive framework for achieving a digital and intelligent society, leveraging next-generation technologies to improve service quality, governance efficiency, and citizen well-being.

Main Views

• Intelligent Society Evolution: The digital and intelligent society is an evolution from agricultural, industrial, and information societies. It is driven by people-centric approaches and next-gen technologies like AI.
• Public Services Transformation: Public services must shift from direct service provision to roles in guidance, management, and regulation. This transformation is necessary to meet societal needs and address emerging challenges.
• Intelligent Architecture Framework: Huawei proposes an open, hierarchical, and efficient intelligent architecture for the public services industry, focusing on system collaboration, agility, and trustworthiness.
• Six Key Aspects of Transformation:
  1. Warmth: Personalized and proactive service experiences in education, healthcare, and government affairs.
  2. Width: Cross-departmental and cross-regional collaboration through digital technologies.
  3. Precision: Advanced technologies like big data and AI enable precise information collection and analysis for social governance.
  4. Speed: Efficient data and communication networks improve emergency response and resource allocation.
  5. Intensity: Robust infrastructure supports reliable and efficient public services.
  6. Density: Real-time situational awareness and risk prediction enhance service customization and effectiveness.
• Collaboration and Ecosystem: Huawei advocates for "consensus, co-construction, sharing, co-governance, and mutual benefits" to build a digital and intelligent society with ecosystem partners.

Key Information

1. Intelligent Application Layer

• Core Focus: Intelligent applications in education, healthcare, and government affairs.
• AI Role: AI provides personalized and proactive services, driving value through scenario-specific analysis.
• All-Scenario Intelligence: Aggregating diverse scenarios to form a comprehensive intelligent architecture.

2. Intelligent Hub

• AI and Intelligent Platform: The hub includes AI and intelligent platforms that support data-driven decision-making.
• AI Development Trends: AI is expected to enable deeper sensing, more accurate exploration of the unknown, and data-driven innovation.
• Key Applications:
  • Education: AI will enable personalized learning, with AI teachers adapting to students' behaviors and abilities.
  • Healthcare: Scenario-specific AI models will support smart imaging, precision medicine, and drug R&D.
  • Environmental Monitoring: AI combined with new technologies will address environmental challenges like pollution detection and climate change.

3. Intelligent Platform

• Function: Promotes integration of digital and intelligent technologies, lowers technical barriers, and enhances business efficiency.
• Technical Capabilities:
  • Data-AI Convergence: Automated and intelligent data governance with zero need for SQL skills.
  • Trustworthy DevOps: DevSecOps pipelines with low-code/no-code development for agile and secure application delivery.
  • Comprehensive Security Architecture: Integrates blockchain, trusted execution sandboxes, and federated learning to ensure data privacy and security.

4. Digital Infrastructure

• Three Layers:
  1. Intelligent Sensing: Real-time monitoring and data collection using biosensors, IoT devices, and advanced sensing technologies.
  2. Intelligent Connectivity: Features elastic ultra-broadband, intelligent lossless algorithms, and AI autonomous networks.
  3. Intelligent Foundation: Provides large-scale AI computing power, storage, and parallel computing frameworks, supporting cloud-network-edge-device synergy.
• Examples:
  • Smart Elderly Care: Real-time water usage monitoring with AI alerts.
  • Museum Energy Management: Systematic energy-saving transformation using real-time data collection and automation.
  • Medical Imaging: Cloud-based image reading and AI-assisted diagnosis reduce time and space constraints.

5. Future Outlook

• Network Evolution: From 5G to 6G, networks will evolve to support higher performance, more coverage, and greater intelligence (e.g., network nervous system, digital twin systems).
• Computing Power Growth: By 2030, global data volume is expected to grow by 1YB annually, with AI computing power increasing by 500 times.
• Industry Intelligence: The development of industry intelligence has entered a fast lane, requiring stronger AI and computing capabilities.

Conclusion

Huawei's intelligent architecture for government and public services is a strategic initiative to drive digital transformation and AI adoption across various sectors. It emphasizes collaboration, innovation, and the use of advanced technologies to improve service quality, governance, and citizen well-being. By building new infrastructure and fostering an open ecosystem, Huawei aims to support the global shift towards a more intelligent, inclusive, and efficient society.