The age of applied AI
summary
A practical tour of applied AI showing which cloud APIs actually solve real problems: computer vision API that returns bounding boxes, OCR, celebrity IDs and per-face attributes (age, gender, emotion) for up to 30–32 faces, speech and text translation across 62 languages, and a video indexer that produces aligned transcripts, subtitles and scene metadata. Demonstrations include a Logic App that scores tweet sentiment (0–1) into Azure Tables, and a local gestures SDK that needs a Kinect v2 or Intel RealSense depth camera. Responsible AI checks (fairness, accountability, transparency) are emphasized.
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chapters (32)
- 0:00Intro
- 2:58Questions
- 5:00AI brewed beer
- 6:05Timeline of AI
- 9:47Trust
- 14:56Resources
- 15:24Build or buy
- 16:06Cognitive services
- 17:33Computer Vision API
- 18:01Demo
- 19:13Celebrities
- 19:24OCR
- 19:59Translation
- 20:49Face API
- 24:33Facial Recognition Principles
- 24:57China example
- 26:23Bots
- 28:13Negative and positive comments
- 28:45Text analytics
- 29:07Text analytics example
- 29:50Logic app example
- 30:38Sentiment analysis
- 31:28Video Indexer
- 35:55Cognitive Services Labs
- 37:02Project gestures
- 37:19Depth camera
- 37:55Microsoft gesture
- 38:25Code
- 38:59Gesture packs
- 40:07The future
- 40:26A choice we make
- 41:06Questions and answers
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