Hello everyone,
I’m currently exploring Oracle AI Services and looking to understand best practices for building AI-powered automation workflows, especially when integrating AI models with backend services and cloud infrastructure.
My main areas of interest include:
- Using Oracle AI Services with REST APIs for automation
- Integrating AI models with cloud-native applications
- Processing structured and unstructured data using Oracle AI
- Designing scalable architectures using Oracle Cloud Infrastructure (OCI)
I would like to know how developers typically structure their architecture when combining Oracle AI Services with backend systems (for example, using microservices, event-driven architecture, or serverless functions).
Additionally, I’m interested in learning:
- Recommended architecture patterns
- Best practices for performance and scalability
- Real-world use cases or examples
- Common pitfalls to avoid
I’m currently learning and experimenting with AI-driven tools and cloud infrastructure, and I’m eager to deepen my understanding of Oracle’s AI ecosystem.
Thank you in advance for any guidance or recommendations.
Best regards,
Bangkah