Integration and Deployment

API/SDK Development
- Build well-documented APIs or SDKs for seamless integration of AI models into the product’s architecture.
Scalability Planning
- Plan for scalability to accommodate increased data volume and user interactions as the product scales.
Continuous Integration/Deployment (CI/CD)
- Implement CI/CD practices for automated testing and deployment, enabling rapid and reliable updates.
Security Measures
- Incorporate security measures, including encryption and access controls, to protect deployed AI models.
Cross-Platform Integration
- Ensure AI models can seamlessly integrate across various platforms, optimizing performance for each.
User Training and Support
- Provide training and support for users interacting with the product’s AI features, addressing interface changes and new workflows.