Getting started with Azure Cognitive Services provides an introduction to Cognitive Services and demonstrates how to use them. The document outlines the five pillars of Cognitive Services - Decision, Speech, Language, Vision, and Search. It also discusses pricing models and security considerations for using Cognitive Services, including Microsoft's roles as both a data processor and independent data controller for different services. The presentation concludes by emphasizing the breadth of Cognitive Services and highlighting resources for learning more.

1. Getting started
with
Azure Cognitive Services

2. Rick van den Bosch
Principal Cloud Architect @ Betabit
@rickvdbosch
rickvandenbosch.net
r.van.den.bosch@betabit.nl

3. Agenda
• An introduction
• Using Cognitive Services
• DEMO
• What about security?
• DEMO
• Conclusion
• Resources

5. What are Cognitive Services?
Infuse your apps, websites and bots
with intelligent algorithms to
see, hear, speak, understand and interpret your user needs
through natural methods of communication

6. What are Cognitive Services?
• A set of services
• That do cool stuff
• On five pillars

7. The five pillars
Decision
Speech
Language
Vision
Search

8. Decision
• Content Moderator
• Machine-assisted content moderation APIs and human review tool for
images, text, and videos
• Personalizer *
• An AI service that delivers a personalized user experience
• Anomaly Detector *
• An AI service that helps you foresee problems before they occur

9. Speech
• Speech Services
• Convert audio to text, perform speech translation and text-to-speech with the
unified Speech services
• Speaker Recognition *
• Identify individual speakers or use speech as a means of authentication with
Speaker Recognition

10. Language
• Text Analytics
• QnA Maker
• Immersive Reader *
• Translator Text
• Language Understanding

11. Vision
• Computer Vision
• Ink Recognizer *
• Custom Vision
• Face
• Video Indexer
• Form Recognizer *

12. Search
• Bing Spell Check
• Bing Visual Search
• Bing Entity Search
• Bing News Search
• Bing Autosuggest
• Bing Web Search
• Bing Custom Search
• Bing Video Search
• Bing Image Search
• Bing Local Business Search *

13. Pricing
• Cognitive Services
• You pay for transactions
• What constitutes a transaction?
• For Recognize Text each POST call counts as a transaction.
• GET calls for results of async service, counted but are free of charge.
• For all other operations
• each feature call counts as a transaction
whether called independently or grouped through the Analyze call

15. Using Cognitive Services
Several different ways to connect
• HTTP POST/GET calls
• Client Libraries
• Web portal

16. Using Cognitive Services
• Decent documentation
• A lot of examples available
Github Search “Cognitive Services” 2,158 repositories

19. MS is a data processor for:
• Computer Vision
• Content Moderator
• Custom Vision
• Face
• Language Understanding
• Speech Services
• Text Analytics
• Translator Text
• QnA Maker
• Video Indexer
Control over storage & deletion of any customer data

20. MS is an independent data controller for
• Bing Autosuggest
• Bing Custom Search
• Bing Entity Search
• Bing Search
• Bing Spell Check
Data treated differently than other customer data.
MS may use data to improve products & services.

24. Container support
• Control over data
• Control over model updates
• Portable architecture
• High throughput / Low latency
The endpoint is strictly used for billing only,
no customer data ever flows that way.

25. Container support
• Anomaly Detector
• Computer Vision
• Face
• Form Recognizer
• Language Understanding (LUIS)
• Speech Service API
• Text Analytics

26. Container support

28. Conclusion
• Cognitive Services are HUGE
• Using them is SIMPLE
• Container support is COOL 🤓

29. Resources
https://www.theurlist.com/cogserv