Machine Learning

Machine Learning

Amazon Rekognition

Identifies objects, people, text, and scenes in images and videos using ML
Facial analysis and facial search for user verification and people counting
Create a database of familiar faces or compare against celebrities
Key uses:
- Labeling
- Content Moderation
- Text Detection
- Face Detection and Analysis (gender, age range, emotions)
- Face Search and Verification
- Celebrity Recognition
More info: Amazon Rekognition

Amazon Transcribe

Converts speech to text using Automatically speech recognition (ASR)
Accurate and quick transcription
Key uses:
- Transcribing customer service calls
- Automating closed captioning and subtitling
- Generating metadata for media assets for searchable archives

Amazon Polly

Turns text into lifelike speech using deep learning
Enables creation of talking applications

Amazon Translate

Provides natural and accurate language translation
Localizes content for international users
Efficiently translates large volumes of text

Amazon Lex & Connect

Amazon Lex: (same technology that powers Alexa)

Uses ASR to convert speech to text
Natural Language Understanding to recognize text and caller intent
Helps build chatbots and call center bots

Amazon Connect

Cloud-based virtual contact center
Receives calls and creates contact flows
Integrates with CRM systems or AWS
No upfront payments, 80% cheaper than traditional contact centers

Amazon Comprehend

Fully managed and serverless NLP service
Uses machine learning to find insights and relationships in text
Key features:
- Identifies language of the text
- Extracts key phrases, places, people, brands, or events
- Determines sentiment of the text
- Analyzes text using tokenization and parts of speech
- Organizes text files by topic
Key uses:
- Analyzing customer interactions for positive or negative experiences
- Grouping articles by topics

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
Reduces forecasting time from months to hours
Key uses:
- Product Demand Planning
- Financial Planning
- Resource Planning

Amazon Kendra

Fully managed document search service powered by ML
Extracts answers from various document types (text, PDF, HTML, PowerPoint, MS Word, FAQs)
Offers natural language search capabilities
Learns from user interactions to promote preferred results
Allows manual fine-tuning of search results

Amazon Personalize

Fully managed ML service for real-time personalized recommendations
Key uses:
- Personalized product recommendations
- Customized direct marketing
Integrates into websites, applications, SMS, email marketing systems
Implemented in days, not months

Amazon Textract

Automatically extracts text, handwriting, and data from scanned documents using AI and ML
Reads and processes various document types (PDFs, images)
Key uses:
- Financial Services (invoices, financial reports)
- Healthcare (medical records, insurance claims)
- Public Sector (tax forms, ID documents, passports)

Summary

Rekognition: Face detection, labeling, celebrity recognition
Transcribe: Audio to text (e.g., subtitles)
Polly: Text to audio
Translate: Language translation
Lex: Build conversational bots (chatbots)
Connect: Cloud contact center
Comprehend: Natural language processing
SageMaker: Machine learning for developers and data scientists
Forecast: Accurate forecasts
Kendra: ML-powered search engine
Personalize: Real-time personalized recommendations
Textract: Detect text and data in documents