AWS Machine Learning

Machine Learning

Amazon Rekognition

• Find objects, people, text, scenes in images and videos using ML
• Facial analysis and facial search to do user verification, people counting
• Create a database of “familiar faces” or compare against celebrities
• Use case:
  • Labeling
  • Content Moderation
  • Text Detection
  • Face Detection and Analysis (gender, age, range, emotions…)
  • Face Search and Verification
  • Celebrity Recognition
  • Pathing (ex: for sports game analysis)

    Amazon Transcribe

• Automatic convert speech to text
• Uses a deep learning process called automatic speech recognition(ASR) to convert speech to text quickly and accurately
• Use cases:
  • Transcribe customer service calls
  • automate closed caption and subtitling
  • generate metadata for media assets to create a fully searchable archive

    Amazon Polly

• Turn text into lifelike speech using deep learning
• Allowing you to create application that talk

  Amazon Translate

• Nature and accurate language translation
• Amazon Translate allows you to localize content - such as website and applications - for internation users, and to easily translate large volume of text efficiently

  Amazon Lex & Connect

• Amazon Lex: (Same technology that powers Alexa)
  • Automatic Speech Recognition (ASR) to convert speech to text
  • Natural Language Understanding to recognize the intent of text, callers
  • Helps build chatbots, call center bots
• Amazon Connect:
  • Receive calls, create contact flows, cloud-based virtual contact center
  • Can integrate with other CRM systems or AWS
  • No upfront payment, 80% cheaper than traditional contact center solutions

    Amazon Comprehend

• For Nature language Processing - NLP
• Fully managed and serverless service
• Uses machine learning to find insight and relationship in text
  • Language of the text
  • Extracts key phrases, places, people, brands, or events
  • Understanding how positive or negative the text is
  • Analysis text using tokenization and parts of speech
  • Automatically organizes a collection of text files by topic
• Sample use cases:
  • analyze customer interaction (email) to find what leads to a positive or negative experience
  • Create and groups articles by topics that Comprehend will uncover

    Amazon SageMaker

• Fully managed service for developers / data scientists to build ML models
• Typically, difficult to do all the processes in one place + provision servers
• Machine learning process (simplified): predicting your exam score

  Amazon Forecast

• Fully managed service that uses ML to deliver highly accurate forecasts
• Example: predict the future sales of a raincoat
• 50% more accurate than looking at the data itself
• Reduce forecasting time from months to hours
• Use cases: Product Demand Planning, Financial Planning, Resource Planning,…

  Amazon Kendra

• Fully managed document search service powered by Machine Learning
• Extract answer from within a document (text, pdf, HTML, MS Word, …)
• Natural language search capabilities
• Learn from user interactions/feedback tto promote preferred results (Incremental learning)
• Ability to manually fine-tune search results (importance of data, freshness, custom, …)

  Amazon Personalize

• Fully managed ML-service to build apps with real-time personalized recommendations
• Example: personalized product recommendations/re-ranking, customized direct marketing
  • Example: User bought gardening tools, provide recommendations on the next one tto buy
• Same technology used by Amazon.com
• Integrates into existing website, applications, SMS, email marketing systems,…
• Implement in days, ot months (you don’t need to build, train, and deploy ML solutions)
• Use cases retail stores, media, and entertainment…

  Amazon Textract

• Automatically extract text, handwriting, and data from ay scanned document using AI ad ML
• Extract data from forms and tables
• Read and process any type of documents (PDFs, images, …)
• Use cases:
  • Financial Service (e.g invoice, financial reports)
  • Healthcare (e.g medical records, insurance claims)
  • Public Sector (e.g tax forms, ID documents, passports)

    AWS Machine Learning - Summary

• Rekognition: face detection, labeling, celebrity recognition
• Transcribe: audio to text
• Polly: text to audio
• Translate: translation
• Lex: build conversation bots - chatbots
• Connect: cloud contact center
• Comprehend: natural language processing
• SageMaker: machine learning for every developer and data scientist
• Forecast: build highly accurate forecast
• Kendra: ML-powered search engine
• Personalize: real-time personalized recommendation
• Textract: detect text and data in documents