- 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
- 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
- Turns text into lifelike speech using deep learning
- Enables creation of talking applications
- Provides natural and accurate language translation
- Localizes content for international users
- Efficiently translates large volumes of text
- Uses ASR to convert speech to text
- Natural Language Understanding to recognize text and caller intent
- Helps build chatbots and call center bots
- 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
- 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
- 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
- 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
- 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
- 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
- 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)
- 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