Domain 3 of 4 · Chapter 7 of 8

AI/ML & Analytics Services

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Included in this chapter:

  • Pre-trained AI services: one service per task
  • Build-your-own ML (SageMaker AI) and the generative-AI assistant (Amazon Q)
  • Analytics services: the data-to-insight pipeline
  • Exam pattern recognition

Match the need to the AI/ML or analytics service

Need / signal in the stemServiceWhat it does
Read text aloud / generate voice outputAmazon PollyText-to-speech (lifelike spoken audio)
Transcribe / caption audio or calls to textAmazon TranscribeSpeech-to-text via automatic speech recognition
Translate / localize into other languagesAmazon TranslateNeural machine translation between languages
Sentiment / entities / key phrases in textAmazon ComprehendPre-trained NLP, no training data required
Detect objects/faces/content in photos or videoAmazon RekognitionComputer vision for images and video
Extract text/forms/tables from scanned docsAmazon TextractDocument analysis beyond simple OCR
Build a voice or text chatbotAmazon LexConversational bots (Alexa's engine)
Natural-language search of internal contentAmazon KendraML-powered enterprise search
Generative-AI assistant for code or company dataAmazon QQ Developer for coding, Q Business for data
Build/train/deploy a custom ML modelAmazon SageMaker AIEnd-to-end custom ML lifecycle
Prepare / transform / catalog data (ETL)AWS GlueServerless ETL with a central Data Catalog
Real-time / streaming dataAmazon KinesisIngests and processes data in motion
SQL on data in S3, nothing to manageAmazon AthenaServerless SQL, pay per data scanned
Petabyte-scale SQL data warehouseAmazon RedshiftProvisioned warehouse you load into
Spark / Hadoop / Hive big-data frameworksAmazon EMRManaged open-source big-data platform
Log analytics / full-text search at scaleAmazon OpenSearch ServiceSearch, log analytics, observability
Dashboards / business-intelligence visualsAmazon QuickSightCloud BI dashboards for business users
Cheat sheet

Cheat sheet

  • Polly does text-to-speech
  • Transcribe does speech-to-text
  • Translate converts between languages
  • Comprehend is managed NLP with no training data
  • Rekognition analyzes images and video
  • Textract extracts data from documents
  • Lex builds chatbots
  • Kendra is intelligent enterprise search
  • Amazon Q is the generative-AI assistant
  • SageMaker AI builds custom models
  • Pre-trained service beats SageMaker for standard tasks
  • Glue is serverless ETL with a Data Catalog
  • Kinesis handles real-time streaming data
  • Athena queries S3 with serverless SQL
  • Redshift is the data warehouse
  • Athena queries in place, Redshift loads first
  • EMR runs open-source big-data frameworks
  • OpenSearch Service does search and log analytics
  • QuickSight is the BI dashboard service
  • Speech-text pipeline pairs the AI services
  • AI services need no ML expertise

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Also tested in

References

  1. Amazon Polly
  2. What is Amazon Transcribe?
  3. What is Amazon Translate?
  4. What is Amazon Comprehend?
  5. What is Amazon Rekognition?
  6. Amazon Textract
  7. Amazon Lex
  8. Amazon Kendra
  9. Amazon SageMaker AI FAQs FAQ
  10. What is Amazon SageMaker AI? (rename note)
  11. Amazon Q
  12. Amazon Kinesis FAQs FAQ
  13. AWS Glue FAQs FAQ
  14. Amazon S3
  15. Amazon Athena FAQs FAQ
  16. Amazon Redshift FAQs FAQ
  17. Amazon EMR FAQs FAQ
  18. Amazon OpenSearch Service FAQs FAQ
  19. What is Amazon QuickSight?