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| title | slug | collate |
|---|---|---|
| Streamlining Metadata with Collate AI and Autopilot Integration | /collateai/collate-ai-autopilot-workflows | true |
How Collate AI Enhances Autopilot Workflows
Collate AI seamlessly integrates with the Autopilot application in Collate to automate and enhance metadata management processes. This integration streamlines the onboarding of new data services and enriches metadata through AI-driven automation.
How Collate AI Integrates with Autopilot
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Automated Metadata Ingestion with Autopilot
When a new data service is added, Autopilot automatically initiates agents that manage ingestion workflows. These workflows extract:
- Schemas
- Lineage
- Usage
- Profiling information
This forms the foundation for further AI-driven enhancements.
AI Agents Enhancing Metadata
Post-ingestion, Collate AI deploys specialized agents to enrich metadata:
-
Documentation Agent
Generates descriptive metadata for tables and columns, improving understanding and discoverability. -
Tiering Agent
Analyzes data usage and lineage to assign business-criticality tiers to data assets. -
Data Quality Agent
Creates data quality tests based on table constraints and patterns, ensuring reliability.
Insights and Monitoring
The outcomes of these processes are available in the Service Insights dashboard, offering key performance indicators such as:
- Percentage of assets with generated descriptions
- Distribution of data assets across different tiers
- Data quality health metrics
- Identification of assets containing PII
Benefits of the Integration
-
Efficiency
Reduces manual effort in metadata documentation and quality assurance. -
Consistency
Ensures uniform metadata standards across the organization. -
Visibility
Provides clear insights into data assets, aiding governance and compliance.