An Overview to Artificial Intelligence Services at AWS
- 1. © 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Grant McCarthy Enterprise Solutions Architect August 17th, 2017 An Overview of AI on AWS
- 4. An Overview of AI on AWS Apache Amazon Polly Text-to-Speech Amazon Rekognition Amazon Lex Computer Vision ASR & NLU Apache MXNet Deep learning framework
- 5. An Overview of AI on AWS Apache MXNet Apache Deep learning framework
- 6. Apache MXNet Programmable Portable High Performance Near linear scaling across hundreds of GPUs Highly efficient models for mobile and IoT Simple syntax, multiple languages
- 7. Apache MXNet is the deep learning framework of choice for AWS
- 8. Why Apache MXNet? Most Open Best On AWS Optimized for deep learning on AWS Accepted into the Apache Incubator (Integration with AWS)
- 9. P2 INSTANCES DL CLOUD FORMATION TEMPLATE DL AMIS
- 10. An Overview of AI on AWS Amazon Polly Text-to-Speech Apache
- 11. Amazon Polly: Life-like Text-to-Speech Service Converts text to life-like speech 47 voices 24 languages Low latency, real time Fully managed
- 12. Let’s take a listen…
- 13. “Today in Seattle, WA, it’s 11°F” ‘"We live for the music" live from the Madison Square Garden.’ 1. Automatic, Accurate Text Processing Amazon Polly: A Focus On Voice Quality & Pronunciation
- 14. 2. Intelligible and Easy to Understand 1. Automatic, Accurate Text Processing Amazon Polly: A Focus On Voice Quality & Pronunciation
- 15. 2. Intelligible and Easy to Understand 3. Add Semantic Meaning to Text “Richard’s number is 2122341237“ “Richard’s number is 2122341237“ Telephone Number Amazon Polly: A Focus On Voice Quality & Pronunciation 1. Automatic, Accurate Text Processing
- 16. 2. Intelligible and Easy to Understand 3. Add Semantic Meaning to Text 4. Customized Pronunciation “My daughter’s name is Kaja.” “My daughter’s name is Kaja.” 1. Automatic, Accurate Text Processing Amazon Polly: A Focus On Voice Quality & Pronunciation
- 17. Amazon Polly: Common Use Cases • Internet of Things (smart home, connected devices) • Education (language learning, training videos) • Voiced Media (news, blogs, email) • Voiced Chat Bots (Amazon Lex, Alexa skills) • Gaming (avatars, Amazon Lumberyard)
- 18. An Overview of AI on AWS Amazon Rekognition Computer Vision Apache
- 19. Amazon Rekognition: Computer Vision Service Object and Scene Detection Facial Analysis Facial Comparison Facial Recognition
- 20. Amazon Rekognition: Object & Scene Detection
- 21. Amazon Rekognition: Computer Vision Service State-of-the-art face recognition (bounding box and key features).
- 22. Face Attribute Extraction (emotion, gender, race, age, etc.) Emotion: confused: 4%, calm: 73% Sunglasses: false (value: 0) Gender: female (value: 0) Mouth open wide: 0% (value: 0) Eye closed: open (value: 0) Glasses: no glass (value: 0) Mustache: false (value: 0) Beard: (value: 0) Amazon Rekognition: Computer Vision Service demo
- 23. Amazon Rekognition: Facial Search Facial verification Face Search Visual Similarity Search (compare two faces) (compare many faces) (find similar faces)
- 24. Amazon Rekognition: A few use cases Best photo: use the attributes smile and eyesOpen to determine the best photos to post Demographic detection: collect the age and gender of customers in your store Sentiment capture: detect the emotions of your customers as they try your product A/B tuning: identify visually similar alternatives to high-scoring images for A/B testing Smart filtering: identify images with high visual similarity to ensure only one is displayed Verify face: compare two faces, receive a confidence score that they are the same person Protected images: identify visually similar images that are protected by trademarks
- 25. An Overview of AI on AWS Amazon Lex ASR & NLU Apache
- 26. The Advent Of Conversational Interactions 1st Gen: Machine-oriented interactions
- 27. The Advent Of Conversational Interactions 1st Gen: Machine-oriented interactions 2nd Gen: Control-oriented & translated
- 28. The Advent Of Conversational Interactions 1st Gen: Machine-oriented interactions 2nd Gen: Control-oriented & translated 3rd Gen: Intent-oriented
- 29. Amazon Lex .. for Conversational Interactions Powered by the same deep learning technology as Alexa Enterprise SaaS Connectors Deployment to chat platforms, like Slack, FB Messenger, Twilio SMS Build Voice and Text Chatbots Interactions on mobile, web, and devices
- 32. Amazon Lex Use Cases Informational Bots Chatbots for everyday consumer requests Application Bots Build powerful interfaces to mobile applications • News updates • Weather information • Game scores …. • Book tickets • Order food • Manage bank accounts …. Enterprise Productivity Bots Streamline enterprise work activities and improve efficiencies • Check sales numbers • Marketing performance • Inventory status …. Internet of Things (IoT) Bots Enable conversational interfaces for device interactions • Wearables • Appliances • Auto ….
- 33. AI Solutions for Every Developer
- 34. https://aws.amazon.com/amazon-ai/ Amazon AI: Getting Started
- 36. Q & A
- 37. Don’t Forget Evaluations !!