AI901: Implement AI solutions for information extraction by using Foundry

In AI-901, this topic means understanding how Microsoft Foundry can extract useful structured information from unstructured content.

Microsoft lists this under Implement AI solutions for information extraction by using Foundry, including documents/forms, images, audio, video, and lightweight apps using Content Understanding.

What is information extraction?

Information extraction means taking unstructured content and turning it into usable data.

Examples:

InputExtracted information
Invoice PDFSupplier, invoice number, date, total
Receipt imageMerchant, items, VAT, amount
Audio recordingTranscript, speakers, key points
VideoSpoken content, visible text, objects, scenes
FormField names and values

Main Foundry capabilities

1. Azure Content Understanding

Use this when you need to extract information from different content types, including:

  • Documents
  • Images
  • Audio
  • Video

AI-901 expects you to recognise that Content Understanding is the Foundry capability for broader information extraction.

2. Azure Document Intelligence

Use this specifically for documents and forms.

It can extract:

  • Text
  • Key-value pairs
  • Tables
  • Document structure
  • Fields from invoices, receipts, forms, and cards

Microsoft describes Document Intelligence in Foundry Tools as using OCR and document understanding to extract text, tables, structure, and key/value pairs from documents.

Exam-friendly workflow

Document / image / audio / video
        ↓
Foundry Tool: Content Understanding
        ↓
Extracted structured information
        ↓
Lightweight app displays or stores results

Common exam scenarios

ScenarioCorrect capability
Extract invoice number, supplier, and total from PDFsDocument Intelligence / Content Understanding
Extract text and fields from a scanned formDocument Intelligence
Extract information from an imageContent Understanding
Extract transcript and insights from audioContent Understanding
Extract information from videoContent Understanding
Build a simple app that sends a file and receives extracted fieldsLightweight app with Content Understanding

Key distinction

WorkloadPurpose
OCRReads text from an image or document
Text analysisAnalyses existing text
Document IntelligenceExtracts structured data from documents/forms
Content UnderstandingExtracts information across documents, images, audio, and video
Generative AICreates new content

Simple memory trick

“Extract, don’t create.”

Information extraction is about pulling useful data out of content, not generating new content.

Summary

For AI-901, remember:

Content → Foundry Tool → extracted structured data → app/workflow.