Data Governance: Building Modern AI Systems

This post covers data governance patterns for modern AI systems. Building effective AI solutions requires understanding these foundational patterns.

Key Concepts

Understanding data governance is essential for production AI systems. Here’s what you need to know.

Implementation

# data governance implementation pattern
from azure.ai.openai import AzureOpenAI

class Service:
    def __init__(self, client: AzureOpenAI):
        self.client = client

    async def process(self, data):
        # Implementation details
        return await self.execute(data)

Best Practices

1. Follow established patterns
2. Implement proper error handling
3. Monitor performance metrics
4. Scale appropriately

These patterns form the foundation of reliable AI systems.