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© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
David Pearson
AWS AI Services
June 2017
AI and Deep Learning
at Amazon
Artificial Intelligence At Amazon
Amazon AI
Intelligent Services Powered By Deep Learning
Amazon + Intel
• 10+ year partnership
• Joint development
• Shared customer passion
• High performance + low costs
• World class supply chain
CLOUD &
DATA
CENTER
THINGS &
DEVICES
AWS IOT Alexa Voice
Services
Amazon EC2 Amazon S3
MXNet: Scalable Deep Learning Framework
Amazon Lex
a service for building
conversational interfaces
using voice and text
Complete
Solution
End to End
Speech to Intent
ASR+NLU integrated
into one API
Dialog Management
Native support &
maintains context
Text to Speech
Amazon Polly
integrated into API
Business Logic
Native integration with
AWS Lambda
Deployment
One click deployment
Security
Encrypted data in
transit & at rest
Scale
Completely managed
service
Analytics
Monitor and improve
Text and Speech Language Understanding
Speech
Recognition
Natural Language
Understanding
Powered by the same Deep Learning
technology as Amazon Alexa
Amazon Lex: Use Cases
Informational Bots
Manage everyday consumer requests
Application Bots
Build powerful interfaces to mobile applications
• News updates
• Weather information
• FAQs ….
• Book tickets
• Order food
• Manage bank accounts ….
Enterprise Productivity Bots
Streamline enterprise work activities
• Check sales numbers
• Marketing performance
• Inventory status ….
Internet of Things (IoT) Bots
Enable conversational interfaces for device interactions
• Wearables
• Appliances
• Auto ….
Use Case: Employee Assistance
File time off
Sure. Starting what date
July 1st
How many days do you
plan to take off?
Book a conference room
Sure. What time?
Tomorrow Noon
I found a room on the 2nd
floor. Should I book it?
Reduce employee time and effort in everyday tasks
Employee Assistance: Design
Welcome Intent
Conf Room IntentTime off Intent Expense
Report Intent
:Record time off
I will be out July 1st – July 10th
Add PTO in July
……
Utterances
Start Date: AMAZON.DATE
End Date: AMAZON.DATE
……
Slots
File time off
Book a conference room
Can you find a room for 10
Need a conf room for my meeting
Utterances
Conf Room: ConfRoomList
Time: AMAZON.DATE
Duration: AMAZON.NUMBER
Slots
Book a conference room
Create expense
report
Converts text
to life-like speech
47 voices 24 languages Low latency,
real time
Fully managed
Amazon Polly: Life-like Speech Service
Voice Quality & Pronunciation
1. Automatic, Accurate Text Processing
2. Intelligible and Easy to Understand
3. Add Semantic Meaning to Text
4. Customized Pronunciation
Articles and Blogs
Training and Education
Chatbots (Lex)
Game/Media Characters
Amazon Polly: Text To Speech Quality
Accurate text processing
• Ability of the system to interpret common text formats such as
abbreviations, numerical sequences, homographs etc.
Today's maximum for New York, NY is expected to be 72°F
A row broke out over who would row the boat
He moped around after his moped was stolen
I am content that the content for today’s event is ready
Whisper Voice and Speech Marks
Whisper SSML effect: <amazon:effect name="whispered">
Synchronize Speech for an Enhanced Visual Experience
• Request an additional stream of metadata about
sentence word timings
• Use the metadata stream alongside the synthesized
speech audio stream to sync audio and visual
Introduction to Artificial Intelligence (AI)
Rekognition: Extract Metadata from Visual Content
objects, scenes, facial attributes, people
rich media
index
Image Moderation
Hierarchical taxonomy
Confidence score
Top-Level Category Child Category
Explicit Nudity Nudity
Graphic Male Nudity
Graphic Female Nudity
Sexual Activity
Partial Nudity
Suggestive Female Swimwear Or Underwear
Male Swimwear Or Underwear
Revealing Clothes
"ModerationLabels": [
{
"Confidence": 83.55088806152344,
"Name": "Suggestive",
"ParentName": ""
},
{
"Confidence": 83.55088806152344,
"Name": "Female Swimwear Or Underwear",
"ParentName": "Suggestive"
DetectModerationLabels
Collection
IndexFaces
SearchFacesbyImage
Nearest neighbor
search
FaceID: 4c55926e-69b3-5c80-8c9b-78ea01d30690
Similarity: 97
FaceID: 02e56305-1579-5b39-ba57-9afb0fd8782d
Similarity: 92
FaceID: 02e56305-1579-5b39-ba57-9afb0fd8782d
Similarity: 85
Celebrity Recognition
Recognize hundreds of thousands of global, public figures
politics, sports, entertainment, business, and media
RecognizeCelebrities
"CelebrityFaces": [
{
"Id": "2oi1w8u",
"MatchConfidence": 95,
"Name": "Andy Jassy",
"Urls": []
}
Developer Resources and more…
https://aws.amazon.com/blogs/ai/
https://aws.amazon.com/amazon-ai/
Questions?
pearsond@amazon.com

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Introduction to Artificial Intelligence (AI)

  • 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. David Pearson AWS AI Services June 2017 AI and Deep Learning at Amazon
  • 3. Amazon AI Intelligent Services Powered By Deep Learning
  • 4. Amazon + Intel • 10+ year partnership • Joint development • Shared customer passion • High performance + low costs • World class supply chain CLOUD & DATA CENTER THINGS & DEVICES AWS IOT Alexa Voice Services Amazon EC2 Amazon S3
  • 5. MXNet: Scalable Deep Learning Framework
  • 6. Amazon Lex a service for building conversational interfaces using voice and text
  • 7. Complete Solution End to End Speech to Intent ASR+NLU integrated into one API Dialog Management Native support & maintains context Text to Speech Amazon Polly integrated into API Business Logic Native integration with AWS Lambda Deployment One click deployment Security Encrypted data in transit & at rest Scale Completely managed service Analytics Monitor and improve
  • 8. Text and Speech Language Understanding Speech Recognition Natural Language Understanding Powered by the same Deep Learning technology as Amazon Alexa
  • 9. Amazon Lex: Use Cases Informational Bots Manage everyday consumer requests Application Bots Build powerful interfaces to mobile applications • News updates • Weather information • FAQs …. • Book tickets • Order food • Manage bank accounts …. Enterprise Productivity Bots Streamline enterprise work activities • Check sales numbers • Marketing performance • Inventory status …. Internet of Things (IoT) Bots Enable conversational interfaces for device interactions • Wearables • Appliances • Auto ….
  • 10. Use Case: Employee Assistance File time off Sure. Starting what date July 1st How many days do you plan to take off? Book a conference room Sure. What time? Tomorrow Noon I found a room on the 2nd floor. Should I book it? Reduce employee time and effort in everyday tasks
  • 11. Employee Assistance: Design Welcome Intent Conf Room IntentTime off Intent Expense Report Intent :Record time off I will be out July 1st – July 10th Add PTO in July …… Utterances Start Date: AMAZON.DATE End Date: AMAZON.DATE …… Slots File time off Book a conference room Can you find a room for 10 Need a conf room for my meeting Utterances Conf Room: ConfRoomList Time: AMAZON.DATE Duration: AMAZON.NUMBER Slots Book a conference room Create expense report
  • 12. Converts text to life-like speech 47 voices 24 languages Low latency, real time Fully managed Amazon Polly: Life-like Speech Service Voice Quality & Pronunciation 1. Automatic, Accurate Text Processing 2. Intelligible and Easy to Understand 3. Add Semantic Meaning to Text 4. Customized Pronunciation Articles and Blogs Training and Education Chatbots (Lex) Game/Media Characters
  • 13. Amazon Polly: Text To Speech Quality Accurate text processing • Ability of the system to interpret common text formats such as abbreviations, numerical sequences, homographs etc. Today's maximum for New York, NY is expected to be 72°F A row broke out over who would row the boat He moped around after his moped was stolen I am content that the content for today’s event is ready
  • 14. Whisper Voice and Speech Marks Whisper SSML effect: <amazon:effect name="whispered"> Synchronize Speech for an Enhanced Visual Experience • Request an additional stream of metadata about sentence word timings • Use the metadata stream alongside the synthesized speech audio stream to sync audio and visual
  • 16. Rekognition: Extract Metadata from Visual Content objects, scenes, facial attributes, people rich media index
  • 17. Image Moderation Hierarchical taxonomy Confidence score Top-Level Category Child Category Explicit Nudity Nudity Graphic Male Nudity Graphic Female Nudity Sexual Activity Partial Nudity Suggestive Female Swimwear Or Underwear Male Swimwear Or Underwear Revealing Clothes "ModerationLabels": [ { "Confidence": 83.55088806152344, "Name": "Suggestive", "ParentName": "" }, { "Confidence": 83.55088806152344, "Name": "Female Swimwear Or Underwear", "ParentName": "Suggestive" DetectModerationLabels
  • 18. Collection IndexFaces SearchFacesbyImage Nearest neighbor search FaceID: 4c55926e-69b3-5c80-8c9b-78ea01d30690 Similarity: 97 FaceID: 02e56305-1579-5b39-ba57-9afb0fd8782d Similarity: 92 FaceID: 02e56305-1579-5b39-ba57-9afb0fd8782d Similarity: 85
  • 19. Celebrity Recognition Recognize hundreds of thousands of global, public figures politics, sports, entertainment, business, and media RecognizeCelebrities "CelebrityFaces": [ { "Id": "2oi1w8u", "MatchConfidence": 95, "Name": "Andy Jassy", "Urls": [] }
  • 20. Developer Resources and more… https://aws.amazon.com/blogs/ai/ https://aws.amazon.com/amazon-ai/