Machine Learning

Cloud-based SaaS for finding objects, people, text, scenes in images and videos leveraging machine learning
Use cases:
- Labeling
- Content moderation
- Text detection
- Face detection and analysis
- Face search and verification
- Celebrity recognition
- Pathing (ex. sports analysis)

An automatic speech recognition (ASR) service for converting speech to text
- ASR is a deep learning process to convert speech to text quickly and accurately
Personally Identifiable Information is automatically removed using Redaction
Supports Automatic Language Identification for multi-lingual audio
Use cases:
- Transcribe customer service calls
- Automate closed captioning and subtitling
- Generate metadata for media assets to create a fully searchable archive

A neural machine translation service using deep learning to deliver accurate and natural language translations
Allows you to localise content for international users on websites and applications
- Translate large volumes of text efficiently

Amazon Lex: Fully managed AI service for building conversational interfaces into applications
- Uses ASR to convert speech to text
- Natural language understanding to recognise the intent of text and callers
- Use cases: Build chatbots, call centre bots
Amazon Connect: A cloud-based virtual contact centre service for receiving calls and creating contact flows
- Can integrate with other CRM systems or AWS
- No upfront payments, 80% cheaper than traditional contact centre solutions

A fully managed service for natural language processing (NLP)
Uses ML to find insights and relationships in text
- Text language
- Extracts key phrases, places, people, brands or events
- Understands how positive or negative the text is
- Analyses text using tokenisation and parts of speech
- Automatically organises a collection of text files by topic
Use cases:
- Analyse customer interactions (emails) to find what leaks to a positive or negative experience
- Create and groups articles by topics that Comprehend will uncover

A fully managed service for developers / data scientists to build ML models
Traditionally, it's difficult to do all these processes in one place and provision servers
Ex. A simplified machine learning process for predicting exam score
- Historical data --> Labels --> Build model --> Train and tune (repetitive process) --> Apply model to new data --> Prediction

A fully managed service using ML to deliver highly accurate forecasts
- Ex. Predict future sales of a raincoat
50% more accurate than looking at the raw data itself
Reduce forecasting time from months to hours
Use case:
- Product demand planning
- Financial planning
- Resource planning

A fully managed document search service using ML for extracting answers within a document
- Text, PDF, HTML, PowerPoint, MS Word, FAQs, etc.
Has natural language search capabilities
Learn from user interactions / feedback to promote preferred results (Incremental Learning)
Given the ability to manually fine-tune search results (significance of data, recency of data, custom, etc.)

A fully managed ML service to build apps with real-time personalised recommendations
- Ex. Personalised product recommendations / re-ranking
Same technology used by Amazon.com
Integrates into existing websites, applications, SMS, email marketing systems, etc.
Implement in days, instead of months (no need to build, train and deploy ML solutions)
Use case:
- Retail stores
- Media
- Entertainment

A service to automatically extract 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, etc.)
Use cases:
- Financial services (invoices, financial reports)
- Healthcare (medical records, insurance claims)
- Public sector (tax forms, ID documents, passports)