Most organizations’ best insights live outside neat tables—buried in PDFs, scans, screenshots, call recordings, and long-form video. This talk shows how to turn that unstructured mess into clean, trustworthy JSON you can ship to search, analytics, and automation. We’ll build an end-to-end extraction playbook in C# using Azure AI Content Understanding’s Analyzer to ingest multimodal files and return structured outputs via a simple POST → GET pattern. We’ll compare when to use Azure Content Understanding, Azure Document Intelligence versus rolling your own with Azure OpenAI. Expect live examples. This session turns documents into assets you can query tomorrow.

You’ll learn
- Detect → segment → extract → validate → persist pipeline, with multimodal tactics for each step.
- When to use Document Intelligence vs. Content Understanding vs. Azure OpenAI—trade-offs in accuracy, flexibility, and ops.
- Production guardrails: confidence thresholds, schema/regex checks, PII redaction, and eval metrics.

Who should attend
Engineers, data practitioners, and architects shipping real pipelines—not just proofs of concept.