Machine Learning

Finds objects, people, text, scenes in images and videos using machine learning.
Facial analysis and facial search to do user verification and people counting.
Use cases:
- Labelling.
- Content Moderation.
- Text Detection.
- Face Detection & Analysis.
- Face Search and Verification.
- Celebrity Recognition.
- Pathing (for sports game analysis for example).

Automatically convert speech to text.
Uses automatic speech recognition (a deep learning process) to do this 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 media assets to create a fully searchable archive.

Natural and accurate language translation.
Allow you to localise content such as websites and applications for international users, and to easily translate large volumes of text efficiently.

Amazon Lex:
- Automatic Speech Recognition to convert speech to text.
- Natural Language Understanding to recognize the intent of text and 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 and a lot cheaper than traditional contact center solutions.

For Natural Language Processing.
Fully managed and serverless service.
Uses ML to find insights and relationships in text:
- Language of the text.
- Extracts key phrases, places, people, brands, or events.
- Understands how positive or negative a text is.
- Analyzes text using tokenization and parts of speech.
- Automatically organises 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 group articles by topics that Comprehend will uncover.

Fully managed document search service powered by ML.
Extract answers from within a document.
Natural language search capabilities.
Learn from user interactions/feedback to promote preferred results. (incremental learning)
Ability to manually fine-tune search results.

Fully managed ML-service to build apps with real-time personalised recommendations.
Same technology used by Amazon.com.
Integrates into existing websites, applications, SMS, email marketing systems, etc.
Use cases: retail stores, media and entertainment.

Automatically extracts text, handwriting, and data from any scanned document using AI and ML.
Extract data from forms and tables.
Read and process any type of document.
Use cases: financial services, healthcare, public sector.