Based on the knowledge graph fragments, the Model QA Process uses the following Information Systems (IS) services:

Primary IS Services

Service Details

1. Quality Assurance Service (service_inno-4021)

• Function: Triggers the Model QA Process execution
• Capabilities: Uses AI supported Model QA capability
• Assignment: Assigned to Quality Assurance glossary element
• Reference: Refer to Quality Assurance Quality Assurance Quality Assurance < > 1/1 Click for details

2. AI driven model QA (service_inno-421)

• Function: Serves the Model QA Process with AI-driven quality assurance
• Implementation: Realized by AI4EAM Environment application
• Process Step: Assigned to Perform QA process step
• Reference: Occurs in diagrams diagram_inno-6251 and diagram_inno-5704 AI driven model QA AI driven model QA < > 1/1 Click for details

Supporting Context

The Model QA Process operates within the AI4EAM Environment and depends on:
- AI modules (baseline AI and AI gen 2)
- Database layer (Triple Store and Relational Database)
- Process steps: Formulate Work Order, Accept Plan, Perform QA, Accept QA, Plan QA Process [ EA AD- KI4UAM.md EA AD- KI4UAM.md < > 1/1 Chapter 2### Model QA Process
- Receives input from the Client.
- Executes QA tasks inside the AI4EAM environment.
- Provides results back to the client.
### M... ]

These services work together to execute quality assurance tasks, receive input from the Client, and provide results back to the client within the AI4EAM ecosystem.