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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Asif Khan, Technical Business Development Manager
June 20, 2017
An Overview of AI on the
AWS Platform
Artificial Intelligence
At Amazon
The Advent Of
Deep Learning
Algorithms
The Advent Of
Deep Learning
Data
Algorithms
The Advent Of
Deep Learning
Data
GPUs
& Acceleration
Algorithms
The Advent Of
Deep Learning
Data
GPUs
& Acceleration
Programming
models
Algorithms
The Advent Of
Deep Learning
Data
GPUs
& Acceleration
Programming
models
Algorithms
AWS
Amazon AI
Intelligent Services Powered By Deep Learning
Introducing Amazon AI
Apache
Apache
MXNet
Deep learning framework
Introducing Amazon AI
Apache
Amazon
Polly
Text-to-Speech
Apache
MXNet
Deep learning framework
Introducing Amazon AI
Apache
Amazon
Polly
Text-to-Speech
Amazon
Rekognition
Computer Vision
Apache
MXNet
Deep learning framework
Introducing Amazon AI
Apache
Amazon
Polly
Text-to-Speech
Amazon
Rekognition
Amazon
Lex
Computer Vision ASR & NLU
Apache
MXNet
Deep learning framework
Introducing Amazon AI
Amazon
Polly
Text-to-Speech
Apache
MXNet
Amazon
Rekognition
Amazon
Lex
Computer Vision ASR & NLU
Apache
Deep learning framework
Apache MXNet
Programmable Portable High Performance
Near linear scaling
across hundreds of GPUs
Highly efficient
models for mobile
and IoT
Simple syntax,
multiple languages
Why Apache MXNet?
Most Open Best On AWS
Optimized for
deep learning on AWS
Accepted into the
Apache Incubator
(Integration with AWS)
Apache MXNet is the deep learning framework
of choice for Amazon
P2 INSTANCES DEEP TEMPLATEDL AMIS
Introducing Amazon AI
Amazon
Polly
Text-to-Speech
Apache
MXNet
Amazon
Rekognition
Amazon
Lex
Computer Vision ASR & NLU
Apache
Deep learning framework
Amazon Polly: Life-like Text-to-Speech Service
Converts text
to life-like speech
47 voices 24 languages Low latency,
real time
Fully managed
Let’s take a listen…
“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
2. Intelligible and Easy to Understand
1. Automatic, Accurate Text Processing
Amazon Polly:
A Focus On Voice Quality & Pronunciation
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
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
Amazon Polly: Life-like Text-to-Speech Service
High quality,
through
best-in-class
deep learning
Deep
functionality
Easy to use
& thoughtfully integrated
Built for
production
Low
cost
Introducing Amazon AI
Amazon
Polly
Text-to-Speech
Apache
MXNet
Amazon
Rekognition
Amazon
Lex
Computer Vision ASR & NLU
Apache
Deep learning framework
Rekognition: Search & Understand Visual Content
Real-time &
batch image
analysis
Object & Scene
Detection
Facial Detection Face SearchFacial Analysis
Rekognition: Object & Scene Detection
Rekognition: Facial Detection
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)
Rekognition: Facial Search
Facial
verification
Face
Search
Visual Similarity
Search
(compare two faces) (compare many faces) (find similar faces)
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
Introducing Amazon AI
Amazon
Polly
Text-to-Speech
Apache
MXNet
Amazon
Rekognition
Amazon
Lex
Computer Vision ASR & NLU
Apache
Deep learning framework
The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions
The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions
2nd Gen: Control-oriented
& translated
The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions
2nd Gen: Control-oriented
& translated
3rd Gen:
Intent-oriented
Amazon 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
High quality,
through
best-in-class
deep learning
Deep
functionality
Easy to use
& thoughtfully integrated
Built for
production
Low
cost
Amazon Lex
Build Natural, Conversational Interactions In Voice & Text
AI Solutions for Every Developer
https://aws.amazon.com/amazon-ai/
Amazon AI: Getting Started
Q&A
Thank you!
aws.amazon.com/amazon-ai

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An Overview of AI on the AWS Platform - June 2017 AWS Online Tech Talks

Editor's Notes

  1. AWS Deep Learning AMIs Amazon Linux & Ubuntu Up to~40k CUDA cores Apache MXNet TensorFlow Theano Keras Caffe Caffe2 CNTK Torch Pre-configured CUDA drivers Anaconda, Python3
  2. Can use the word “chatbots”