AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech (TTS) with Amazon Polly, and developer-focused machine learning with Amazon Machine Learning. For more in-depth deep learning applications, the AWS Deep Learning AMI lets you run deep learning in the cloud, at any scale. Launch instances of the AMI, pre-installed with open source deep learning engines (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to train sophisticated, custom AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances. Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to improve scale and efficiency with the AWS Cloud. Learning Objectives • Learn about the breadth of AI services available on the AWS Cloud • Gain insight into practical use cases for Amazon Lex, Amazon Polly, and Amazon Rekognition • Understand why Amazon has selected MXNet as its deep learning framework of choice due its programmability, portability, and performance

1. AI & Deep Learning At Amazon
Sunil Mallya
Solutions Architect
smallya@amazon.com

2. Artificial Intelligence
At Amazon

3. Artificial Intelligence At Amazon
Thousands Of Employees Across The Company Focused on AI
Discovery &
Search
Fulfillment &
Logistics
Enhance
Existing Products
Define New
Categories Of
Products
Bring Machine
Learning To All

4. The Advent Of
Deep Learning
Algorithms

5. The Advent Of
Deep Learning
Data
Algorithms

6. The Advent Of
Deep Learning
Data
GPUs
& Acceleration
Algorithms

7. The Advent Of
Deep Learning
Data
GPUs
& Acceleration
Programming
models
Algorithms

8. The Advent Of
Deep Learning
Data
GPUs
& Acceleration
Programming
models
Algorithms
AWS

9. Amazon AI
Intelligent Services Powered By Deep Learning

10. Introducing Amazon AI
Apache MXNet
Deep learning engine

11. Introducing Amazon AI
Polly
Text-to-Speech
Apache MXNet
Deep learning engine

12. Introducing Amazon AI
Polly
Text-to-Speech
Apache MXNet
Deep learning engine
Rekognition
Image Analysis

13. Introducing Amazon AI
Polly
Text-to-Speech
Apache MXNet
Deep learning engine
Rekognition Lex
Image Analysis ASR & NLU

14. Introducing Amazon AI
Polly
Text-to-Speech
Apache MXNet
Deep learning engine
Rekognition Lex
Image Analysis ASR & NLU

15. Apache MXNet
Programmable Portable High Performance
Near linear scaling
across hundreds of GPUs
Highly efficient
models for mobile
and IoT
Simple syntax,
multiple languages

16. Why Apache MXNet?
Most Open Best On AWS
Optimized for
deep learning on AWS
Accepted into the
Apache Incubator
(Integration with AWS)

17. Apache MXNet is the deep learning framework
of choice for Amazon

18. P2 INSTANCES DEEP TEMPLATEDEEP AMI

19. One-Click
Deep Learning
AWS Deep Learning AMI
(Amazon Linux, Ubuntu)
Up to~40k CUDA cores
Apache MXNet
TensorFlow
Theano
Caffe
Torch
Pre-configured CUDA drivers
Anaconda, Python3
+ CloudFormation template
+ Container Image

20. Introducing Amazon AI
Polly
Text-to-Speech
Apache MXNet
Deep learning engine
Rekognition Lex
Image Analysis ASR & NLU

21. Amazon Polly: Life-like Speech Service
Converts text
to life-like speech
47 voices 24 languages Low latency,
real time
Fully managed

22. Let’s take a listen…

23. “Today in Seattle, WA, it’s 11°F”
‘"We live for the music" live from the Madison Square Garden.’
1. Automatic, Accurate Text Processing
Polly: A Focus On Voice Quality & Pronunciation

24. Polly: A Focus On Voice Quality & Pronunciation
2. Intelligible and Easy to Understand
1. Automatic, Accurate Text Processing

25. 2. Intelligible and Easy to Understand
3. Add Semantic Meaning to Text
“Richard’s number is 2122341237“
“Richard’s number is 2122341237“
Telephone Number
Polly: A Focus On Voice Quality & Pronunciation
1. Automatic, Accurate Text Processing

26. 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.”
Polly: A Focus On Voice Quality & Pronunciation
1. Automatic, Accurate Text Processing

27. Polly: Life-like Speech Service
High quality,
through
best-in-class
deep learning
Deep
functionality
Easy to use
& thoughtfully integrated
Built for
production
Low
cost

28. Introducing Amazon AI
Polly
Text-to-Speech
Apache MXNet
Deep learning engine
Rekognition Lex
Image Analysis ASR & NLU

29. Rekognition: Search & Understand Visual Content
Real-time &
batch image
analysis
Object & Scene
Detection
Facial Detection Face SearchFacial Analysis

30. Rekognition: Object & Scene Detection
Bay
Beach
Coast
Outdoors
Sea
Water
Palm_tree
Plant
Tree
Summer
Landscape
Nature
Hotel
99.18%
99.18%
99.18%
99.18%
99.18%
99.18%
99.21%
99.21%
99.21%
58.3%
51.84%
51.84%
51.24%
Category Confidence

31. Rekognition: Facial Detection

32. Rekognition: Facial Analysis
Emotion: calm: 73%
Sunglasses: false (value: 0)
Mouth open wide: 0% (value: 0)
Eye closed: open (value: 0)
Glasses: no glass (value: 0)
Mustache: false (value: 0)
Beard: no (value: 0)

33. Rekognition: Facial Search
Facial
verification
Face
Search
Visual Similarity
Search
(compare two faces) (compare many faces) (find similar faces)

34. DEMO

35. High quality,
through
best-in-class
deep learning
Deep
functionality
Easy to use
& thoughtfully integrated
Built for
production
Low
cost
Rekognition: Search & Understand Visual Content

36. Introducing Amazon AI
Polly
Text-to-Speech
Apache MXNet
Deep learning engine
Rekognition Lex
Image Analysis ASR & NLU

37. The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions

38. The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions
2nd Gen: Control-oriented
& translated

39. The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions
2nd Gen: Control-oriented
& translated
3rd Gen:
Intent-oriented

40. Lex: Build Natural, Conversational Interactions In Voice & Text
Voice & Text
“Chatbots”
Powers
Alexa
Voice interactions
on mobile, web
& devices
Text interaction
with Slack & Messenger
Enterprise
Connectors
(with more coming) Salesforce
Microsoft Dynamics
Marketo
Zendesk
Quickbooks
Hubspot

41. DEMO

42. High quality,
through
best-in-class
deep learning
Deep
functionality
Easy to use
& thoughtfully integrated
Built for
production
Low
cost
Lex: Build Natural, Conversational Interactions In Voice & Text

43. Polly
Text-to-Speech
Apache MXNet
Deep learning engine
Rekognition Lex
Image Analysis ASR & NLU
Amazon AI: What’s Next?

44. Amazon AI: What’s Next?
Polly
Text-to-Speech
Apache MXNet
Deep learning engine
Rekognition Lex
Image Analysis ASR & NLU
New APIs
and tools

45. https://aws.amazon.com/amazon-ai/
Amazon AI: Getting Started

46. Thank you!
smallya@amazon.com