AI Capability Sharing Service System
Industry Pain Points
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Fragmented Capability Platforms with Sharing Barriers
Government departments and organizations have vertically built various AI capability platforms based on specific business needs, with computer vision (CV), OCR and other capabilities scattered across different systems. The lack of unified data exchange standards and sharing mechanisms has resulted in: •“Data silos“ between departments, •“Capability silos“that prevent cross-departmental and cross-business reuse. The tight coupling between application systems and AI capabilities further exacerbates these isolation issues. -
Challenges in Centralized Platform Management
While centralized AI platform construction has integrated multiple capabilities, the integration of AI modules with different technical architectures and development standards has created significant management challenges: • Lack of unified management specifications and monitoring systems, • Inability to comprehensively track operational status and security protection for key capabilities (e.g., CV, TTS), • Difficulties in ensuring stable and reliable platform operations.
Solution Overview
AI Capability Sharing Service System
SenseTime AI Capability Sharing Service System.
This system enables comprehensive management of AI capabilities, including:
Capability registration and de-registration,
API lifecycle management (onboarding/offboarding),
Access application and authorization,
Traffic control and throttling,
End-to-end call tracing and monitoring.
Solution Highlights
Application Value
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End-to-End Intelligent Governance
Implements unified management, monitoring, authorization and control of AI capabilities. Ensures controllable and standardized capability delivery. Enhances compliance in resource utilization. -
Integrated Capability Empowerment
Supports centralized AI capability development. Breaks capability silos through cross-scenario integration. Enables synergistic development across diverse business domains. -
Unified Operations & Evolution
Establishes standardized maintenance and evolution mechanism for AI capabilities. Reduces redundant investments. Improves fund utilization efficiency and resource allocation.
