Solution Automation focuses on integrating the developed model into the production environment and automating the end-to-end process. This stage involves developing APIs and services for seamless model integration, automating data pipelines and model inference processes, and implementing monitoring and alerting mechanisms to track the model’s performance and usage. Logging and auditing are set up to ensure transparency and accountability. The automated solution is documented, and user guides are created to support end-users and stakeholders. Solution Automation ensures that the model is seamlessly integrated into the business workflow and can be efficiently utilized with minimal manual intervention.
- API and Service Development for Model Integration
- Data Pipeline and Model Inference Automation
- Monitoring, Alerting, and Logging
- Continuous Integration and Deployment (CI/CD)