Part 7/10:
- Microservices & Data Cataloging: Over 2,500 microservices contribute data, connected via the mesh for secure, governed access. This interconnected ecosystem underpins AI model training, inference, and decision-making.
Supporting AI Development and Analytics
The platform's sophistication extends into analytical workflows:
Research & Development: Data scientists and analysts collaborate across a unified environment, accessing integrated data sources (e.g., RDS, DynamoDB, S3, Delta Lakes) via metadata layers and AWS services like SageMaker for modeling.
Visual Analytics: Business intelligence tools like QuickSight enable visualization and decision insights, facilitating faster iteration on AI algorithms and workflows.