Intro to Amazon AI Services by Boaz Ziniman

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Web Summit - Lisbon
November 2017
AI Services on AWS
Boaz Ziniman – Technical Evangelist, AWS
@ziniman

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The difficulty comes in writing
software that will make sense
of the data

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Artificial Intelligence
A system or service which can perform tasks
that usually require human intelligence

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25,000 skills

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And a few more examples…
Fraud detection Detecting fraudulent transactions, filtering spam emails,
flagging suspicious reviews, …
Personalization Recommending content, predictive content loading,
improving user experience, …
Targeted marketing Matching customers and offers, choosing marketing
campaigns, cross-selling and up-selling, …
Content classification Categorizing documents, matching hiring managers and
resumes, …
Churn prediction Finding customers who are likely to stop using the
service, free-tier upgrade targeting, …
Customer support Predictive routing of customer emails, social media
listening, …

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Machine Learning On AWS Today

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Amazon AI Ecosystem

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Amazon AI Ecosystem

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General-purpose GPU compute applications.
Features:
• High Frequency Intel Xeon E5-2686v4 (Broadwell)
• High-performance NVIDIA K80 GPUs, each with
2,496 parallel processing cores and 12GiB of GPU
memory
• Supports GPUDirect™
• Enhanced Networking
• EBS-optimized by default at no additional cost
Amazon EC2 P2 Instances
Instance Size GPUs GPU Peer
to Peer
vCPUs Memory
(GiB)
Network
Bandwidth*
p2.xlarge 1 - 4 61 1.25Gbps
p2.8xlarge 8 Y 32 488 10Gbps
p2.16xlarge 16 Y 64 732 20Gbps

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General-purpose GPU compute applications.
Features:
• High Frequency Intel Xeon E5-2686v4 (Broadwell)
• High-performance NVIDIA V100 GPUs, each with
5,120 GPU cores + 640 Tensor cores and 16GiB of
GPU memory
• Supports GPUDirect™
• Enhanced Networking
• EBS-optimized by default at no additional cost
Amazon EC2 P3 Instances
Instance Size GPUs GPU Peer
to Peer
vCPUs Memory
(GiB)
Network
Bandwidth*
p3.2xlarge 1 - 8 61 Up to 10Gbps
p3.8xlarge 4 Y 32 244 10Gbps
p3.16xlarge 8 Y 64 488 25Gbps

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Expedia - Ranking Hotel Images
Leading online travel company
How to improve hotels listing images?
• Use GPUs and deep learning to rank hotel images
• Build a model based on 100K images
How to rank 10M images?
• Use data parallelization across multiple GPUs on AWS
• Improve ranking time from more than a week to 1 day

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Amazon AI Ecosystem

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One-Click
Deep Learning
AWS Deep Learning AMIs
Amazon Linux & Ubuntu
Up to~40k CUDA cores
Apache MXNet
TensorFlow
Theano
Keras
Caffe
CNTK
Torch
Pre-configured CUDA drivers
Anaconda, Python3
Out-of-the-box Tutorials
+ CloudFormation template
+ Container Image
Available in the AWS Marketplace

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Amazon AI Ecosystem

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Can We Help Customers
Put Intelligence At The Heart Of
Every Application & Business?

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Amazon AI Ecosystem

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Polly
Text-to-Speech
Artificial Intelligence Services on AWS

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Rekognition
Image Analysis
Artificial Intelligence Services on AWS

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Lex
Conversation Bots
Artificial Intelligence Services on AWS

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Polly
Text-to-Speech
Artificial Intelligence Services on AWS

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Amazon Polly
“Today in Seattle, WA
it’s 11°F”
“Today in Seattle Washington it’s
11 degrees Fahrenheit”
Text In, Life-like Speech Out

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

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

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A Focus On Voice Quality & Pronunciation
1. Automatic, Accurate Text Processing
2. Intelligible and Easy to Understand
3. Add Semantic Meaning to Text

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https://www.w3.org/TR/speech-synthesis/
<speak>
The spelling of my name is
<prosody rate='x-slow'>
<say-as interpret-as="characters">Boaz</say-as>
</prosody>
</speak>
A Focus On Voice Quality & Pronunciation

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A Focus On Voice Quality & Pronunciation
1. Automatic, Accurate Text Processing
2. Intelligible and Easy to Understand
3. Add Semantic Meaning to Text
• “Richard’s number is 2122341237“
<say-as interpret-as="telephone">

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A Focus On Voice Quality & Pronunciation
1. Automatic, Accurate Text Processing
2. Intelligible and Easy to Understand
3. Add Semantic Meaning to Text
• “Richard’s number is 2122341237“
• “My daughter’s name is Kaja.”

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A Focus On Voice Quality & Pronunciation
1. Automatic, Accurate Text Processing
2. Intelligible and Easy to Understand
3. Add Semantic Meaning to Text
• “Richard’s number is 2122341237“
• “My daughter’s name is Kaja.”
4. Amazon Polly-specific tags
• dynamic range compression (drc)
<speak><prosody volume="loud">This text needs to be understandable
and loud.<amazon:effect name="drc">This text also needs to be more
understandable in a moving car.</amazon:effect></prosody></speak>

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A Focus On Voice Quality & Pronunciation
1. Automatic, Accurate Text Processing
2. Intelligible and Easy to Understand
3. Add Semantic Meaning to Text
• “Richard’s number is 2122341237“
• “My daughter’s name is Kaja.”
4. Amazon Polly-specific tags
• dynamic range compression (drc)
• whispered

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Duolingo voices its language learning service Using Polly
Duolingo is a free language learning service where
users help translate the web and rate translations.
With Amazon Polly our users
benefit from the most lifelike
Text-to-Speech voices
available on the market.
Severin Hacker
CTO, Duolingo
”
“ • Spoken language crucial for
language learning
• Accurate pronunciation matters
• Faster iteration thanks to TTS
• As good as natural human speech

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

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Rekognition
Image Analysis
Artificial Intelligence Services on AWS

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Amazon
Rekognition
Object and scene detection
Facial analysis
Face comparison
Celebrity recognition
Image moderation
Amazon Rekognition: Images In, Rich Metadata Out

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Object & Scene Detection

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Facial Analysis

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Smiling?
Facial Analysis
(Deep) Learning from a Masterpiece
http://bit.ly/MonaLisaAI

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Celebrity Recognition

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Facial Search

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Explicit Nudity
Nudity
Graphic Male Nudity
Graphic Female Nudity
Sexual Activity
Partial Nudity
Suggestive
Female Swimwear or Underwear
Male Swimwear or Underwear
Revealing Clothes
Image moderation

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Amazon Rekognition Customers
Digital Asset Management
Media and Entertainment
Travel and Hospitality
Influencer Marketing
Systems Integration
Digital Advertising
Consumer Storage
Law Enforcement
Public Safety
eCommerce
Education

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https://aws.amazon.com/solutions/case-studies/cspan/

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DEMO

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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

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Lex
Conversation Bots
Artificial Intelligence Services on AWS

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Amazon Lex
Automatic Speech Recognition
Natural Language Understanding
“What’s the weather
forecast?”
Weather
Forecast
Speech Recognition & Natural Language
Understanding

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Amazon Lex
Automatic Speech Recognition
Natural Language Understanding
“What’s the weather
forecast?”
“It will be sunny
and 25°C”
Weather
Forecast
Speech Recognition & Natural Language
Understanding

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Origin
Destination
Departure Date
✈ Flight Booking

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Origin
Destination
Departure Date
✈ Flight Booking
“Book a flight to
London”

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“Book a flight to
London”
Automatic
Speech Recognition
Book Flight
London
Origin
Destination
Departure Date
✈ Flight Booking

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Natural Language
Understanding
Flight booking
London Heathrow
“Book a flight to
London”
Automatic
Speech Recognition
Book Flight
London
Origin
Destination
Departure Date
✈ Flight Booking

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Natural Language
Understanding
Flight booking
London Heathrow
“Book a flight to
London”
Automatic
Speech Recognition
Book Flight
London
Origin
Destination London Heathrow
Departure Date
✈ Flight Booking

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Natural Language
Understanding
Flight booking
London Heathrow
“Book a flight to
London”
Automatic
Speech Recognition
Book Flight
London
Origin Lisbon
Destination London Heathrow
Departure Date
✈ Flight Booking

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Natural Language
Understanding
Flight booking
London Heathrow
“Book a flight to
London”
Automatic
Speech Recognition
Book Flight
London
Origin Lisbon
Destination London Heathrow
Departure Date
✈ Flight Booking
Prompt
“When would you
like to fly?”

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“When would you
like to fly?”
Polly
Prompt
“When would you
like to fly?”
Natural Language
Understanding
Flight booking
London Heathrow
“Book a flight to
London”
Automatic
Speech Recognition
Book Flight
London
Origin Lisbon
Destination London Heathrow
Departure Date
✈ Flight Booking

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“When would you
like to fly?”
“Next Friday”
Origin Lisbon
Destination London Heathrow
Departure Date
✈ Flight Booking

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“Next Friday”
Origin Lisbon
Destination London Heathrow
Departure Date
✈ Flight Booking
Automatic
Speech Recognition
Next Friday

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“Next Friday”
Origin Lisbon
Destination London Heathrow
Departure Date
✈ Flight Booking
Natural Language
Understanding
Flight booking
10/11/2017
Automatic
Speech Recognition
Next Friday

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“Next Friday”
Origin Lisbon
Destination London Heathrow
Departure Date 10/11/2017
✈ Flight Booking
Natural Language
Understanding
Flight booking
10/11/2017
Automatic
Speech Recognition
Next Friday

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Origin Lisbon
Destination London Heathrow
Departure Date 10/11/2017
✈ Flight Booking

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Origin Lisbon
Destination London Heathrow
Departure Date 10/11/2017
✈ Flight Booking
Confirmation
“Your flight is booked
for next Friday”

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Origin Lisbon
Destination London Heathrow
Departure Date 10/11/2017
✈ Flight Booking
Confirmation
“Your flight is booked
for next Friday”
“Your flight is booked for
next Friday”
Polly

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

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Wrap up

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Smile!
@ziniman

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Thank you!
@ziniman