Intelligent Interfaces with Cognitive APIs, BOTs and IOT

on YouTube ↗01h 00m

" summary

A simulated edge device sends an accelerometer y-value 0.5 -> 0.1 to Azure IoT Hub via IoT Edge (edge agent + edge hub) running in Docker; IoT Hub forwards to Databricks (Apache Spark) which detects the fall using watermarking and pushes into Event Hubs. An Azure Function consumes the event and fires an Azure Function -> Teams webhook alert; a Bot Framework v4 bot backed by LUIS offers conversational queries. Code and runnable scripts are on the conference GitHub and the demo completes end-to-end despite a slow demo laptop.

AI-written summary · about

" chapters (24)

1. 0:00Intro
2. 2:02Code
3. 6:18Use Case
4. 7:47Why IOT
5. 8:52IOT Concepts
6. 11:34Demo
7. 14:24Demo Code
8. 17:49Azure IoT Hub
9. 22:09Data Breach Cluster
10. 28:29Event Hub
11. 29:14Function
12. 31:59Bots
13. 33:14Information retrieval
14. 35:34Advisory role
15. 37:44Intelligence
16. 40:09Pretrained models
17. 43:29Exploring the bot
18. 47:14Testing the bot
19. 48:59Testing the bot with Azure CLI
20. 49:44Databrick spike
21. 50:29Slack
22. 51:29IOT Edge
23. 52:49V4 Reference App
24. 53:59IOT Architecture

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