Azure AI, Power new possibilities for every organization

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" summary

Demo shows Form Recognizer extracting invoice fields and image recognition flagging a windshield crack at 92% confidence, and Chevron automates hundreds of PDF reports via RPA. Azure Machine Learning AutoML runs many algorithms (about 50), produces a best model in ~24 minutes with model explanations highlighting engine size and mpg as top features, and deploys to AKS or Power BI. Heathrow prototype runs 3D VTK scans (~50 MB) on Azure Stack Edge using four containers every 200 ms and flags likely illegal wildlife parts in seconds. Responsible AI tools include Fairlearn, differential privacy and homomorphic encryption.

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" chapters (22)

1. 0:00Introduction
2. 2:55Two fundamental trends
3. 4:48Making AI accessible
4. 6:05Cognitive Services
5. 7:35Example
6. 10:05Case Study
7. 12:47Create your own model
8. 13:55Data preparation
9. 15:05Azure ML Service
10. 16:00Azure Machine Learning
11. 16:57Machine Learning Designer
12. 17:53Automated Machine Learning
13. 19:32Machine Learning Demo
14. 19:48Machine Learning Workspace
15. 23:32Create new experiment
16. 29:00Data Flows
17. 34:02Real Life Example
18. 38:12Responsible AI
19. 41:02Fairness in AI
20. 42:32Differential Privacy Toolkit
21. 43:45Future of AI
22. 45:57Azure Supercomputer

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