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 cases:
• Labeling
• Content Moderation
• Text Detection
• Face Detection and Analysis (gender, age ranges, emotions...)
• Face Search and Verification
• Celebrity Recognition
• Pathing (ex: for sports game analysis)

Amazon Transcribe

• Automatically convert speech to text
• Uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately
• Automatically remove Personally Identifiable Information (PII) using Redaction
• Supports Automatic Language Identification for multi-lingual audio
• Use cases:
• transcribe customer service calls
• automate closed captioning and subtitling
• generate metadata for medis assets to create a fully searchable archive

Amazon Polly

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

Amazon Translate

• Natural and accurate language translation
• Amazon Translate allows you to localize content - such as websites and applications - for international users, and to easily translate large volumes 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 payments, 80% cheaper then traditional contact center solutions

Amazon Comprehend

• For Natural Language Processing - NLP
• Fully managed and serverless service
• Uses machine learning to find insights and relationships in text
• Language of the text
• Extracts key phrases, places, people, brands, or events
• Understands how positive or negative the text is
• Analyzes text using tokenization and parts of speech
• Automatically organize a collection of text files by topic
• Sample use cases:
• analyze customer interactions (emails) to find what leads to a positive or negative experience
• Create and groups articles by topics that Comprehend will uncover

Amazon SageMaker AI

• 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 Kendra

• Fully managed document search service powered by Machine Learning
• Extract answers from within a document (text, pdg, HTML, PowerPoint, MSWord, FAQs...)
• Natural language search capabilities
• Learn from user interactions/feedback to 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 to buy
• Same technology used by Amazon.com
• Integrates into existing websites, applications, SMS, email marketing systems,....
• Implement in days, not months (you don't need to build, train and deploy ML solutions)
• Use cases: retial stores, media and entertainment....

Amazon Textract

• Automatically extracts text, handwriting, and data from any scanned documents using AI and ML
• Extract data from forms and tables
• Read and process any type of document (PDFs, images...)
• Use cases:
• Financial Services (eg: invoices, financial reports)
• Healthcare (eg: medical records, insurance claims)
• Public Sector (eg: tax forms, ID documents, passports)

Summary

• Rekognition: face detection, labeling, celebrity recognition
• Transcribe: audio to text
• Polly: Text to audio
• Translate: translations
• Lex: build conversational bots - chatbots
• Connect: cloud contact center
• Comprehend: natural language processing
• SageMaker: machine learning for every developer and data scientist
• Kendra: ML-powered seach engine
• Personalize: real-time personalized recommendations
• Textract: detect text and data in documents