2. 40% of digital transformation initiatives
supported by AI in 2019
âIDC 2018
InnovationDecision
making
Customer
experience
AI is central to digital transformation
Business
operations
Competitive
advantage
4. Customer-focused
90%+ of our roadmap is
defined by customers
Pace of innovation
200+ new AI/ML launches
and major feature updates last year
Breadth and depth
A wide range of
AI/ML services
Multi-framework
Support for the most
popular ML frameworks
Security and analytics
Deep set of security with
robust encryption and analytics
Embedded R&D
Customer-centric approach
5. FRAMEWORKS INTERFACES INFRASTRUCTURE
AI Services
Broadest and deepest set of capabilities
The AWS AI/ML Stack
VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS
ML Services
ML Frameworks + Infrastructure
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 &
C O M P R E H E N D M E D I C A L
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
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 E R S O N A L I Z E
Ground Truth Notebooks Algorithms + Marketplace Reinforcement Learning Training Optimization Deployment HostingAmazon SageMaker
F P G A sE C 2 P 3
& P 3 D N
E C 2 G 4
E C 2 C 5
A W S
I N F E R E N T I A
A W S I o T
G R E E N G R A S S
A M A Z O N
E L A S T I C
I N F E R E N C E
A W S D L
C O N T A I N E R S
& A M I s
A M A Z O N
E L A S T I C
K U B E R N E T E S
S E R V I C E
A M A Z O N
E L A S T I C
C O N T A I N E R
S E R V I C E
https://ml.aws
6. FRAMEWORKS INTERFACES INFRASTRUCTURE
AI Services
Broadest and deepest set of capabilities
The AWS AI/ML Stack
VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS
ML Services
ML Frameworks + Infrastructure
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
& C O M P R E H E N D
M E D I C A L
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
R E K O G N I T I O N
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 E R S O N A L I Z E
Ground Truth Notebooks Algorithms + Marketplace Reinforcement Learning Training Optimization Deployment HostingAmazon SageMaker
F P G A sE C 2 P 3
& P 3 D N
E C 2 G 4
E C 2 C 5
A W S
I N F E R E N T I A
A W S I o T
G R E E N G R A S S
A M A Z O N
E L A S T I C
I N F E R E N C E
A W S D L
C O N T A I N E R S
& A M I s
A M A Z O N
E L A S T I C
K U B E R N E T E S
S E R V I C E
A M A Z O N
E L A S T I C
C O N T A I N E R
S E R V I C E
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
I M A G E & F A C E
A N A L Y S I S
V I D E O
A N A L Y S I S
T E X T & D A T A
E X T R A C T I O N
T E X T T O
S P E E C H
S P E E C H
T O T E X T
T R A N S L A T I O N N A T U R A L
L A N G U A G E
U N D E R S T A N D I N G
7. Automate media workflows to reduce costs and monetize content
Put AI to work for your business
content moderation | contextual ad insertion | searchable media library
face analytics | multi-language metadata search
REKOGNITION
IMAGE
REKOGNITION
VIDEO
COMPREHEND TRANSCRIBE TRANSLATE TEXTRACT
8. Amazon Textract
Extract text and data from virtually any document
https://aws.amazon.com/blogs/machine-learning/automatically-extract-text-and-structured-data-from-documents-with-
amazon-textract/
K E Y F E AT U R E S
Optical character
recognition (OCR)
Key-value pair
detection
Adjustable confidence
thresholds
Table
detection
Bounding box
coordinates
No ML experience
required
10. One line of code
response = textract.analyze_document(
Document={'S3Objectâ:
{'Bucket': bucket_name,
'Nameâ : document_name }
},
FeatureTypes=["TABLES", "FORMS"]
)
11. Reduce localization costs and improve accuracy
custom vocabulary | timestamp generation | secure real-time translation | language identification
POLLY TRANSCRIBE TRANSLATE COMPREHEND
Put AI to work for your business
12. US English Matthew voice
âSources tell CNN he believes the media and the northeast elite are
needlessly hyperventilating and overreacting to his comments.â
Amazon Polly NTTS and newscaster style
https://aws.amazon.com/blogs/aws/amazon-polly-introduces-neural-text-to-speech-and-newscaster-style/
13. One line of code
response = polly.synthesize_speech(
OutputFormat=âmp3â,
Text=âHi, my name is Matthewâ,
VoiceId=âMatthewâ,
Engine=âneuralâ
)
14. Combining Translate and Polly
https://www.theglobeandmail.com/inside-the-globe/article-new-
to-the-globe-listen-to-articles-in-english-french-or-mandarin/
15. Understand the voice of your customer
sentiment analysis | app localization | translation services | transcription services | cataloging media | accessibility
REKOGNITION
IMAGE
REKOGNITION
VIDEO
TRANSLATETRANSCRIBE COMPREHEND
Put AI to work for your business
16. Amazon Translate
Natural and accurate language translation
https://aws.amazon.com/blogs/aws/new-languages-for-amazon-translate-greek-hungarian-romanian-thai-ukrainian-urdu-
and-vietnamese/
K E Y F E AT U R E S
32 languages,
987 language pairs
Language
detection
Real-time
translation
Custom
terminology
No ML experience
required
18. One line of code
response = translate.translate_text(
SourceLanguageCode=âautoâ,
TargetLanguageCode=âroâ,
Text=âLes sanglots longs des violons de lâautomne
blessent mon coeur dâune langueur monotoneâ
)
print(response['TranslatedTextâ])
Sufletele lungi ale viorilor de toamnÄ mi-au rÄnit inima
cu o lÄcomie monotonÄ
19. Personalize customer experiences with targeted recommendations
recommendation technology used by Amazon.com | context-aware recommendations
sentiment analysis | VoC analytics
PERSONALIZE REKOGNITION
IMAGE
REKOGNITION
VIDEO
COMPREHEND
Put AI to work for your business
20. Amazon Personalize
Improve customer experiences with personalization and recommendations
https://aws.amazon.com/blogs/aws/amazon-personalize-is-now-generally-available/
https://aws.amazon.com/blogs/aws/amazon-personalize-real-time-personalization-and-recommendation-for-everyone/
K E Y F E AT U R E S
Simple data
schemas
Pre-defined or
custom recipes
Automated
machine learning
and tuning
Fully-managed
infrastructure
Based on the technology
used at Amazon.com
21. Historical data
From data set to prediction API
User-Item
interactions
Real-time data
Mobile
SDKs
Server-Side SDKsJavaScript SDKItem
catalog
User
attributes
Amazon S3
bucket
Customized
personalization &
recommendation
API