More Related Content Similar to Build intelligent applications quickly with AWS AI services - AIM301 - New York AWS Summit (20) More from Amazon Web Services (20) Build intelligent applications quickly with AWS AI services - AIM301 - New York AWS Summit 1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Build intelligent applications quickly
with AWS AI services
Randall Hunt
Senior Technical Evangelist
Amazon Web Services
A I M 3 0 1
Nick Walsh
Technical Evangelist
Amazon Web Services
2. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Prerequisites
https://ai-services.go-aws.com/
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S U M M I T
Credit code
https://console.aws.amazon.com/billing/home?#/credits
4. Our mission at AWS
Put machine learning in the hands
of every developer
5. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Why AWS for AI?
Broadest and deepest set of
AI and ML services for your
business
Solving the toughest
problems holding back ML:
cost, ease of use, and data
75% lower inference cost
70% cost reduction in data-labeling
“No ML experience required”
Unmatched support for
the most popular
frameworks
Built on the most comprehensive
cloud platform optimized for ML
85% of TensorFlow projects in
the cloud happen on AWS
200+ new features and
services since Jan. 2018
AWS holds the top spots on
Stanford’s benchmark, for fastest
training time, lowest cost, lowest
inference latency
Deepest set of security and
encryption features, with robust
analytics capabilities
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More machine learning happens on AWS than anywhere else
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S U M M I T
M L f r a m e w o r k s &
i n f r a s t r u c t u r e
A I s e r v i c e s
Vision | Documents | Speech | Language | Chatbots | Forecasting | Recommendations
M L s e r v i c e s Data labeling | Pre-built algorithms & notebooks | One-click training and deployment
Build, train, and deploy machine learning models fast
Easily add intelligence to applications without machine learning
skills
Flexibility & choice, highest-performing infrastructure
Support for ML frameworks | Compute options purpose-built for ML
The Amazon ML stack: Broadest & deepest set of capabilities
8. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
S U M M I T
AI services
A m a z o n
R e k o g n i t i o n
I m a g e
A m a z o n P o l l y A m a z o n
T r a n s c r i b e
A m a z o n
T r a n s l a t e
A m a z o n
C o m p r e h e n d
A m a z o n L e xA m a z o n
R e k o g n i t i o n
V i d e o
A m a z o n
F o r e c a s t
A m a z o n
T e x t r a c t
A m a z o n
P e r s o n a l i z e
VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS
ML services Amazon
SageMaker Ground Truth Notebooks Algorithms + marketplace Reinforcement learning Training Optimization Deployment Hosting
ML frameworks &
infrastructure
Amazon
EC2 P3
& P3dn
EC2
C5
FPGAs
AWS IoT
Greengrass
Amazon
Elastic
Inference
FRAMEWORKS INTERFACES INFRASTRUCTURE
AWS
Inferentia
EC2
G4
The Amazon ML stack: Broadest & deepest set of capabilities
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S U M M I T
AI services
VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS
The Amazon ML stack: Broadest & deepest set of capabilities
Pre-trained AI services that require no
ML skills or training
Easily add intelligence to your existing
apps and workflows
Quality and accuracy from
continuously-learning APIs
A m a z o n
R e k o g n i t i o n
I m a g e
A m a z o n
R e k o g n i t i o n
V i d e o
A m a z o n
T e x t r a c t
A m a z o n P o l l y A m a z o n
T r a n s c r i b e
A m a z o n
T r a n s l a t e
A m a z o n
C o m p r e h e n d
A m a z o n L e x A m a z o n
F o r e c a s t
A m a z o n
P e r s o n a l i z e
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S U M M I T
Amazon Polly
Use cases
Content creation
Mobile & desktop applications
Internet of Things (IoT)
Education & e-learning
Telephony
Game development
Key features
52 voices across 25 languages
Lip-syncing & text highlighting
Fine-grained voice control
Custom vocabularies
Available in 14 AWS Regions
Turn text into lifelike speech
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S U M M I T
Speaker identification Channel identification
Streaming
transcription
Language support
US English US Spanish Australian English Canadian FrenchBritish English
Word-level
timestamps
Punctuation and
capitalization
Word-level
confidence scores
Custom
vocabularies
ItalianBrazilian Portuguese
Amazon Transcribe
Automatic speech recognition
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S U M M I T
Call centers Subtitles for VOD Transcribe meetingsBroadcast closed
captions
Amazon Transcribe
Use cases
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S U M M I T
• Contextual
• Full sentences
• Fluent
Amazon Translate
Neural machine translation
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S U M M I T
Dozens to hundreds of words per second vs. ~4
per minute for human
Speed
Translate is nearing human parity based on
human evaluations
Quality
Translate costs 0.07% of human translation on
average
Cost
Amazon Translate
Shifting from human to artificial intelligence
X300
faster
X1,500
85% as
good
Speed Cost Quality
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S U M M I T
Amazon Translate
Features
25 languages
595 combinations
Real time
< 500ms / sentence on average
< 150ms / conversational / short
form
Tag handling
XML tags placement maintains
styling and formatting through
translation
< / >
Data security
Data ownership
Encryption
Access management
Ease of use
Simple API calls and partner
solutions
$15/1M characters
Or $0.000075 per word;
Pay as you go, 2M characters
monthly free tier
HIPAA eligible
Key features
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S U M M I T
Entities
Key phrases
Language
Sentiment
Syntax
Grouping
C O M P R E H E N D
Discover insights and relationships in text
Amazon Comprehend
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S U M M I T
Amazon Comprehend
Natural language processing
Sentiment Entities LanguagesKey phrases Topic modeling
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S U M M I T
A m a z o n . c o m , I n c . i s l o c a t e d i n
S e a t t l e , W A a n d w a s f o u n d e d
J u l y 5 t h , 1 9 9 4 b y J e f f B e z o s . O u r
c u s t o m e r s l o v e b u y i n g
e v e r y t h i n g f r o m b o o k s t o
b l e n d e r s a t g r e a t p r i c e s
N a m e d E n t i t i e s
A m a z o n . c o m : O r g a n i z a t i o n
S e a t t l e , W A : L o c a t i o n
J u l y 5 , 1 9 9 4 : D a t e
J e f f B e z o s : P e r s o n
K e y p h r a s e s
O u r c u s t o m e r s
B o o k s
B l e n d e r s
G r e a t p r i c e s
S e n t i m e n t
P o s i t i v e
L a n g u a g e
E n g l i s h
Text analysis
Amazon Comprehend
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S U M M I T
Utterances
Spoken or typed phrases that invoke
your intent
Book hotel
Intents
An intent performs an action in
response to natural language user
input
Slots
Slots are input data required to fulfill
the intent
Fulfillment
Fulfillment mechanism for your intent
Amazon Lex
Conversational interfaces
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S U M M I T
Informational
bots
Chatbots for everyday
consumer requests
Application
bots
Build powerful
interfaces to mobile
applications
News updates
Weather information
Game scores ….
Book tickets
Order food
Manage bank accounts ….
Enterprise productivity bots
Streamline enterprise
work activities and
improve efficiencies
Check sales numbers
Marketing performance
Inventory status ….
Internet of Things
(IoT) bots
Enable conversational interfaces
for device interactions
Wearables
Appliances
Auto ….
Contact Center
bots
Chatbots for customer
service IVR
Account inquiries
Bill payment
Service update ….
Amazon Lex
Use cases
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S U M M I T
Amazon Rekognition
Deep learning-based image & video analysis
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S U M M I T
Faces Celebrities Labels
Moderation ScenesActivities Paths
Text
Amazon Rekognition
Features
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S U M M I T
Customer analysis
Analyze trends, not individuals
Recognize your customer
Verify the identities of customers who opt in
Amazon Rekognition
Face: Common use cases
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S U M M I T
Recognize your customer
Verify the identities of customers who opt in
Amazon Rekognition
Face: Common use cases
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S U M M I T
Amazon Textract
Easily extract text and data from virtually any document
Text extraction Table extraction Form extraction
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S U M M I T
Popularity trap
Naïve models give recommendations similar to popular items
Cold starts
New users should get relevant recommendations, new items should show in recommendations
Scale
Recommendations should scale across millions of users and items
Real time
Personalization must be responsive to the changing user intent
Custom models
Personalization models must accurately reflect business context and user behavior
Amazon Personalize
Real-time personalization and recommendation
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Articles, products,
videos, etc.
Age, location, etc. Amazon Personalize
Customized
personalization &
recommendation
API
Views, signups,
conversion, etc.
Amazon Personalize
Real-time personalization and recommendation
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S U M M I T
Customized
personalization &
recommendation
API
F u l l y m a n a g e d b y A m a z o n
P e r s o n a l i z e
Amazon Personalize
Inspect
data
Identify
features
Select
algorithms
Select
hyperparameters
Train
models
Optimize
models
Host
models
Build feature
store
Create
real-time
caches
Activity stream
from app
Inventory
Demographics
(optional)
Amazon Personalize
Real-time personalization and recommendation
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S U M M I T
Historical data
Supply chain,
inventory, etc.
Customized
forecasting API
Related “causal” data
Weather, special offers, product
details
Amazon Forecast
Amazon Forecast
Accurate time-series forecasting
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S U M M I T
Amazon Forecast
Accurate time-series forecasting
Historical data
Supply chain,
inventory, etc.
Customized
forecasting API
Inspect
data
Identify
features
Select
from eight
algorithms
Select
hyperparameters
Host
models
Load
data
Train
models
Optimize
models
Related “causal” data
Weather, special offers, product
details
F u l l y m a n a g e d b y A m a z o n
F o r e c a s t
Amazon Forecast
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S U M M I T
Amazon Forecast
Accurate time-series forecasting
Any historical
time-series
Export to CSV to integrate
with SAP and Oracle supply
chain
Custom forecasts
with three clicks
Up to 50% more
accurate
1/10
the cost
Retail demand Travel demand AWS usage
Revenue forecasts Web traffic Advertising demand
Generate forecasts
for:
32. Thank you!
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