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1.1.3. Decision Scenarios
Visual: Service Selection Decision Tree
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Scenario 1: "Extract specific information from scanned receipts with minimal development effort."
- ❌ Application Insights (monitoring, not AI)
- ❌ Azure AI Metrics Advisor (anomaly detection)
- ✅ Azure Document Intelligence (prebuilt receipt model)
Scenario 2: "Ensure AI model is connected and operationalized effectively with proprietary data."
- ❌ Content Understanding (analysis, not orchestration)
- ❌ Speech service (audio only)
- ✅ Microsoft Foundry (end-to-end AI platform)
Scenario 3: "Extract insights from video with customizable language model."
- ❌ Language service (text only)
- ❌ Vision service (images only)
- ✅ Azure AI Video Indexer (video + customization)
Key Trade-Offs:
- Specialized vs. General Services: Specialized services (Document Intelligence) offer optimized accuracy for their domain; general services (OpenAI) offer flexibility but may need more prompt engineering
- Prebuilt vs. Custom: Prebuilt models deploy instantly but may not fit unique requirements; custom models require training investment
Reflection Question: A healthcare company needs to extract patient information from handwritten intake forms. Would you recommend prebuilt Document Intelligence or a custom model? What factors would you consider?