Extracting data from documents is no longer just about OCR — it’s about understanding context, structure, and meaning.
In this session, we’ll explore two powerful Azure services for AI-driven document processing: Azure AI Document Intelligence and Azure AI Content Understanding. While both aim to unlock value from unstructured data, they approach the problem from different angles — and choosing the right one can significantly impact architecture, cost, scalability, and maintainability.

You’ll learn:
- What each service is designed for
- How they differ in capabilities, customization, and model behavior
- When to use prebuilt models vs custom extraction pipelines
- How they integrate into modern Azure architectures
- Performance, cost, and governance considerations

Through practical scenarios and real-world comparisons, we’ll analyze strengths, trade-offs, and architectural patterns — so you can confidently decide which service fits your use case.
Because in Azure AI, it’s not about “which is better.”
It’s about which is right for your workload.