Building web apps with Cloud and AI

on YouTube ↗56m

" summary

Shows a concrete pipeline: tweets flow into Event Hubs → Functions → Text Analytics → SQL, then an Azure Search index and generated React/TypeScript UI reveal trends; a demo scales to 7 million images/hour with the Vision API. Uses Azure Cognitive Services (vision, text analytics, entity linking), Azure Functions, blob-triggered ingestion for JSON articles, and a managed ElasticSearch-like service with Azure Search cognitive skills. Publishes results (charts, highlights, facets) and indexes 21 million news articles and JFK files for timeline queries.

AI-written summary · about

" chapters (9)

1. 0:00Start
2. 4:32Machine Learning Api
3. 5:21Vision Api
4. 6:58Text Analytics
5. 8:10Linked Entities Preview
6. 21:44Search Index
7. 24:31Suggestions Processor
8. 24:59Add Highlights
9. 41:09Entity Correlation Service

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