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