14. A Flywheel For Data
Machine Learning
Deep Learning
AI
More Users Better Products
More Data Better Analytics
Object Storage
Databases
Data warehouse
Streaming analytics
BI
Hadoop
Spark/Presto
Elasticsearch
Click stream
User activity
Generated content
Purchases
Clicks
Likes
Sensor data
15. Machine Learning &
Artificial Intelligence
Big Data
More Users Better Products
More Data Better Analytics
A Flywheel For Data
20. Thousands Of Employees Across The Company Focused on AI
Discovery &
Search
Fulfilment &
Logistics
Enhance
Existing Products
Define New
Product
Categories
Bring Machine
Learning To All
Artificial Intelligence At Amazon
21. Thousands Of Employees Across The Company Focused on AI
Discovery &
Search
Artificial Intelligence At Amazon
23. Thousands Of Employees Across The Company Focused on AI
Discovery &
Search
Fulfilment &
Logistics
Artificial Intelligence At Amazon
24.
25. Thousands Of Employees Across The Company Focused on AI
Discovery &
Search
Fulfilment &
Logistics
Enhance
Existing Products
Artificial Intelligence At Amazon
26. Thousands Of Employees Across The Company Focused on AI
Discovery &
Search
Fulfilment &
Logistics
Enhance
Existing Products
Define New
Product
Categories
Artificial Intelligence At Amazon
27.
28.
29. Thousands Of Employees Across The Company Focused on AI
Discovery &
Search
Fulfilment &
Logistics
Enhance
Existing Products
Define New
Product
Categories
Bring Machine
Learning To All
Artificial Intelligence At Amazon
35. Tons of GPUs and CPUs
Serverless
At the Edge, On IoT Devices
Prediction
The Challenge For Artificial Intelligence: SCALE
Tons of GPUs
Elastic capacity
Training
Pre-built images
Aggressive migration
New data created on AWS
Data
PBs of existing data
36. Can We Help Customers
Put Intelligence At The Heart Of
Every Application & Business?
37. Machine Learning &
Artificial Intelligence
Big Data
More Users Better Products
More Data Better Analytics
A Flywheel For Data
42. AWS offers a range of tools to make AI/ML more accessible
PollyLex Rekognition
Deep Learning FrameworksMachine Learning PlatformsAmazon AI/ML Services
Usability/simplicity:
leverages AWS AI/ML expertise
Greater control:
customer-specific models
These solutions are underpinned by proven,
scalable AWS products and services
AWS
Greengrass
AWS
IoT
AWS
Lambda
Amazon EC2
(P2 and G2 GPUs)
Amazon
S3
Amazon
DynamoDB
Amazon
Redshift
Amazon EC2
(CPUs)
Amazon EC2
(ENA)
Amazon ML
Spark & EMR
Kinesis
Batch
ECS
MXNet, TensorFlow, Theano, Caffe, Torch
43. One-Click GPU
Deep Learning
AWS Deep Learning AMI
Up to~40k CUDA cores
MXNet
TensorFlow
Theano
Caffe
Torch
Pre-configured CUDA drivers
Anaconda, Python3
+ CloudFormation template
+ Container Image
46. Converts text
to life-like speech
47 voices 24 languages Low latency,
real time
Fully managed
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 Material
Chatbots (Lex)
Public Announcements
53. Still lost in the forest, Marry started to whisper:
"Don't make any noise, they will find us"
54. 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
58. 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
Lex: Build Natural, Conversational
Interactions In Voice & Text
Improving human interactions…
• Contact, service, and support center interfaces (text + voice)
• Employee productivity and collaboration (minutes into seconds)
59.
60. Origin
Destination
Departure Date
Flight Booking
“Book a flight
to London”
Automatic
Speech Recognition
Natural Language
Understanding
Book Flight
London
Utterances
Flight booking
London Heathrow
Intent /
Slot model
London Heathrow
61. Origin
Destination
Departure Date
Flight Booking
“Book a flight
to London”
Automatic
Speech Recognition
Natural Language
Understanding
Book Flight
London
Utterances
Flight booking
London Heathrow
Intent /
Slot model
London Heathrow
LocationLocation
Seattle
62. Origin
Destination
Departure Date
Flight Booking
“Book a flight
to London”
Automatic
Speech Recognition
Natural Language
Understanding
Book Flight
London
Utterances
Flight booking
London Heathrow
Intent /
Slot model
London Heathrow
LocationLocation
Seattle
Prompt
“When would you like to fly?”
“When would you
like to fly?”
Polly
64. Origin
Destination
Departure Date
Flight Booking
“Next Friday”
Automatic
Speech Recognition
Next Friday
Utterances
Natural Language
Understanding
Flight booking
02 / 24 / 2017
Intent /
Slot model
London Heathrow
Seattle
02/24/2017
65. Origin
Destination
Departure Date
Flight Booking
“Next Friday”
Automatic
Speech Recognition
Next Friday
Utterances
Natural Language
Understanding
Flight booking
02 / 24 / 2017
Intent /
Slot model
London Heathrow
Seattle
02/24/2017
Confirmation
“Your flight is booked for next Friday”
“Your flight is booked
for next Friday”
Polly
66. Origin
Destination
Departure Date
Flight Booking
“Next Friday”
Automatic
Speech Recognition
Next Friday
Utterances
Natural Language
Understanding
Flight booking
02 / 24 / 2017
Intent /
Slot model
London Heathrow
Seattle
02/24/2017
Hotel Booking
69. Amazon Rekognition
Deep learning-based image recognition service
Search, verify, and organize millions of images
Object and Scene
Detection
Facial
Analysis
Face
Comparison
Facial
Recognition
Integrated with S3, Lambda, Polly, Lex
78. Object and Scene Detection
Generate labels for thousands of objects, scenes, and
concepts, each with a confidence score
• Search, filter, and
curate image
libraries
• Smart searches for
user generated
content
• Photo, travel, real
estate, vacation
rental applications
Maple
Plant
Villa
Garden
Water
Swimming Pool
Tree
Potted Plant
Backyard
79. Facial Analysis
Locate faces within images and analyze face attributes to
detect emotion, pose, facial landmarks, and features
• Avoid faces when cropping
images and overlaying ads
• Capture user demographics
and sentiment
• Recommend the best photos
• Improve online dating match
recommendations
• Dynamic, personalized ads
83. Face Comparison
Measure the likelihood that faces in two images are of the
same person
• Add face verification to
applications and devices
• Extend physical security
controls
• Provide guest access to
VIP-only facilities
• Verify users for online
exams and polls
84. Facial Search
Identify people in images by finding the closest match for an
input face image against a collection of stored face vectors
• Add friend tagging to
social and messaging apps
• Assist public safety officers
find missing persons
• Identify employees as they
access sensitive locations
• Identify celebrities in
historical media archives
86. Travel and Hospitality
Anticipatory guest experiences for hotels using Amazon
Rekognition for facial recognition and sentiment capture
Kaliber is using Amazon Rekognition to help front desk agents
enhance relationships with guests:
• Recognize guests early for instant and personalized service
• Receive rich, contextualized guest information in real time
• Track guest sentiment throughout their stay
• Drive an 80% increase in guest satisfaction scores
87.
88. Media Case Study
Identify who is on camera at what time for
each of 8 networks so that recorded video
streams can be indexed and searched
Video frame-sampling facial recognition
solution using Amazon Rekognition:
• Indexed 97,000 people into a face collection in
1 day
• Sample frames every 6 secs and test for image
variance
• Upload images to S3 and call Rekognition to
find best facial match
• Store time stamp and faceID metadata
90. Influencer Marketing Case Study
Associate influencers with objects and scenes in social media
images in order to create high impact campaigns for clients
Using Rekognition for metadata extraction:
• Create rich media indexes of images from social media feeds, which
the application associates with influencers
• Enable analytics to profile environments where influence is strongest
• Connect client brands with the influencers most likely to have impact
91. Rekognition Customers
Media and Entertainment
Public Safety
Law Enforcement
Digital Asset Management
Influencer Marketing
Digital Advertising
Education
Consumer Storage
92.
93.
94. Amazon AI Services
• Leveraging Amazon internal experiences with AI / ML
• Managed API services with embedded AI for maximum
accessibility and simplicity
• Full stack of platforms and engines for specialized deep
learning applications