Digital Transformation

© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Drive digital transformation
using AI

© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Centerpiece for digital transformation
Customer
experience
Business
operations
Decision
making
Innovation Competitive
advantage
of digital transformation initiatives
supported by AI in 201940%

Our mission at AWS
Put machine learning in the hands
of every developer

Our unique approach
Customer-focused
90%+ of our ML roadmap
is defined by customers
Breadth & depth
More AI and ML services
in production than any
other provider
Embedded R&D
Customer-centric approach to
advancing the state of the art
Security & analytics
Deepest set of security and
encryption features, with robust
analytics capabilities
Multi-framework
Support for the most
popular frameworks
Pace of innovation
200+ new ML launches
in the last year

customers have used
machine learning on AWS
10,000+
AWS holds the top spots on Stanford’s
deep learning benchmark, DAWN, for
fastest training time, lowest cost, lowest
inference latency
of TensorFlow projects in the cloud
run on AWS85%
of deep learning in the cloud runs on
AWS81%

More machine learning happens on AWS than anywhere else

Culture
Technology

Bringing AI into your
digital transformation
requires a new “stack”
that makes it easier to
put ML to work
Technology

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
The Amazon ML stack: Broadest & deepest set of capabilities
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

A I S E R V I C E S
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
& 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
V I D E O
Vision Speech Chatbots
A M A Z O N
S A G E M A K E R
B U I L D T R A I N
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
D E P L O Y
Pre-built algorithms & notebooks
Data labeling (G R O U N D T R U T H )
One-click model training & tuning
Optimization (N E O )
One-click deployment & hosting
M L S E R V I C E S
F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e
A M A Z O N E L A S T I C
C O M P U T E C L O U D
( A M A Z O N E C 2 ) P 3
& P 3 d n
E C 2 C 5 F P G A s 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
Reinforcement learningAlgorithms & models ( A W S M A R K E T P L A C E
F O R M A C H I N E L E A R N I N G )
Language Forecasting Recommendations

Put AI to work for your business
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 I S E R V I C E S
I M A G E
P O L L Y T R A N S C R I B E T R A N S L A T E C O M P R E H E N D
M E D I C A L
L E XR E K O G N I T I O N
V I D E O
F O R E C A S TT E X T R A C T P E R S O N A L I Z E

Modernize your contact center to improve customer service
conversational chat bots | call transcription | intelligent routing | sentiment analysis | VoC analytics
text-to speech | multilingual omni-channel communication
P O L L Y T R A N S C R I B E T R A N S L A T E C O M P R E H E N D L E X

Simplifying registration
American Heart Association (AHA) built a voice
interface using Amazon Lex to simplify the
registration process for their Heart Walk.
• Enables Heart Walk participants to use natural
language to register for the event
• Voice interaction eliminates the need to read
text, and accelerates the registration process

Use AI services to strengthen safety & security
accurate facial analysis | identity protection | metadata extraction
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
I M A G E
V I D E O

Combatting online
child abuse
Using Amazon Rekognition, Thorn has seen a 65%
reduction in investigation time, which means
finding more victims at a faster pace.

Automate media workflows to reduce costs & monetize content
content moderation | contextual ad insertion | searchable media library
custom facial recognition | multi-language metadata search
C O M P R E H E N DR E K O G N I T I O N
I M A G E
V I D E O
T R A N S C R I B E T R A N S L A T E T E X T R A C T

Scaling video indexing
C-SPAN uses Amazon Rekognition to
automatically index video news footage
for search. With Rekognition, C-SPAN
reduced indexing time per video from 1
hour to 20 minutes and uploaded 97,000
images in under 2 hours.

Reduce localization costs & improve accuracy
custom vocabulary | timestamp generation | secure real-time translation | language identification

Scaling
real-time translation
Using Amazon Translate, Lionbridge is able to
scale machine translation in order to localize
content faster and in more languages. Using
Translate, Lionbridge was able to reduce
translation costs by 20 percent.

Targeted
customer acquisition
VidMob uses Amazon Rekognition and
Amazon Transcribe for metadata extraction
and sentiment analysis, to help marketers
understand which videos resonate with audiences.
This allows marketers to promote targeted
content to acquire new customers.

Personalize customer experiences with targeted recommendations
recommendation technology used by Amazon.com | context-aware recommendations
sentiment analysis | VoC analytics
P E R S O N A L I Z E C O M P R E H E N DR E K O G N I T I O N
I M A G E
V I D E O
NEW

Personalizing
customer experiences
Domino’s uses Amazon Personalize to customize
and scale relevant marketing communications to
customers based on time, context, and content,
thereby improving and enhancing their experience
with the Domino’s brand.

Accurately forecast future business outcomes
forecasting technology used by Amazon.com | multiple time-series data
forecast scheduling & visualization | supply chain integration
F O R E C A S T
NEW

Increase efficiency with automated document analysis
optical character recognition (OCR) | automatic data extraction | natural language processing
intelligent search | text analytics
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
T E X T R A C T
NEW

Clinical Trial Patient
Identification
Comprehend Medical is helping to identify
patients for clinical trials who may benefit from
specific cancer therapies. Fred Hutch was able to
evaluate millions of clinical notes to extract and
index medical conditions, medications, and
choice of cancer therapeutic options, reducing
the time to process each document from hours,
to seconds.

A I S E R V I C E S
I M A G E
M E D I C A L
L E XR E K O G N I T I O N
V I D E O
A M A Z O N
S A G E M A K E R
B U I L D T R A I N
F O R E C A S TT E X T R A C T P E R S O N A L I Z E
D E P L O Y
Pre-built algorithms & notebooks
Data labeling (G R O U N D T R U T H )
One-click model training & tuning
Optimization (N E O )
One-click deployment & hosting
M L S E R V I C E S
E C 2 P 3
& P 3 d n
E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C
I N F E R E N C E
Reinforcement learningAlgorithms & models ( A W S M A R K E T P L A C E
F O R M A C H I N E L E A R N I N G )

ML was too complicated for everyday developers
Collect and
prepare
training data
Choose and
optimize your
ML algorithm
1
2
3
Train and
tune model
(trial and error)
Set up and
manage
environments
for training
Deploy model
in production
Scale and manage
the production
environment

Custom machine learning for your business
Amazon SageMaker
Fast & accurate
data labeling
Built-in, high
performance
algorithms &
notebooks
B U I L D
1
One-click
training and
tuning
T R A I N
Model
optimization
2
Fully managed
hosting with
auto-scaling and
elastic inference
One-click
deployment
D E P L O Y
3

Custom machine learning for your business
One-click
model training
& deployment
10x
better algorithm
performance
Train once
run anywhere
AMAZON SAGEMAKER
70%
cost reduction for data
labeling using Ground Truth
2x
performance increases from
model optimization with Neo
75%
cost reduction for inference
with Elastic Inference
R E D U C E C O S T S I N C R E A S E P E R F O R M A N C E E A S E - O F - U S E

Advancing pharma
research & discovery
Celgene uses Apache MXNet on Amazon
SageMaker for toxicology prediction to virtually
analyze biological impacts of potential drugs
without putting patients at risk. A model that once
took 2 months to train can now be trained in 4
hours.

Fueling product
innovation
Using Amazon SageMaker, Intuit developed ML
models that can pull a year’s worth of bank
transactions to find deductible business expenses
for customers. Using SageMaker, Intuit reduced
machine learning deployment time by 90%, from 6
months to 1 week.

Driving better
healthcare outcomes
Using Amazon SageMaker, GE Healthcare
developed an ML model that can learn from
thousands of medical scans to detect anomalies
more accurately and efficiently, allowing
radiologists to prioritize patients needing
immediate attention.

Optimizing supply
chain operations
Using Amazon SageMaker, Convoy builds and
trains machine learning models to optimize
driver schedules and to ensure load balancing,
capacity planning, pricing and payments.

Accelerating
financial analysis
Using TensorFlow on Amazon SageMaker,
Siemens Financial Services developed an
NLP model to extract critical information to
accelerate investment due diligence, reducing
time to summarize diligence documents from 12
hours down to 30 seconds.

Highest-performing infrastructure for your business
Fastest and lowest-cost
compute options for ML
workloads
Elastic compute to provision
just-right compute for your ML
workloads
Build custom algorithms using
the ML frameworks
E C 2 P 3
& P 3 d n
E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C
I N F E R E N C E

The best place to run TensorFlow
Amazon SageMaker is the best
place to run TensorFlow in the
cloud
S T O C K T E N S O R F L O W
A W S - O P T I M I Z E D T E N S O R F L O W
• Fully-managed training and hosting
• Near-linear scaling across 100s of GPU
• 75% lower inference costs with Amazon
Elastic Inference
• 3x faster network throughput with EC2 P3
65%
90%
S c a l i n g e f f i c i e n c y w i t h 2 5 6 G P U s

Store & retrieve
your data
Comprehensive
analytics
Protect
your data
Delivers
99.999999999%
durability
Up to 400%
faster data
queries
Deepest set of security
&
encryption features
The broadest & deepest capabilities for machine learning

Culture
Setting your
organization up for
success

Assess your structured
and unstructured
data sources
Create
the loop
1.
Connect technology
initiatives with
business outcomes
Advance your
data strategy
Put machine learning
in the hands of
your developers
Organize
for success
2. 3.
?

Data Lakes unlock the potential of BI and AI/ML
Effective data lakes help:
• Attract and retain customers
• Boost productivity
• Proactively maintain devices
• Make informed decisions
Aberdeen Research concluded that data
lake leaders realize higher organic
revenue growth (+9%) and profit (+4%)
compared to followers
Data Lake
Storage |Archival |Catalog
Machine
Learning
Analytics
on-premises real-time
Data Movement

• Build machine learning models in Amazon
SageMaker
• Train, test, and iterate on the track using the AWS
DeepRacer 3D racing simulator
• Compete in the world’s first global autonomous
racing league, to race for prizes and a chance to
advance to win the coveted AWS DeepRacer Cup
AWS DeepRacer
A fully autonomous 1/18th-scale race car designed to help you learn about
reinforcement learning through autonomous driving

• Purpose-built for ML-skills development
• Fully programmable & customizable
• Build custom Amazon SageMaker models
• 10-minutes to your first deep learning project
AWS DeepLens
The world’s first deep learning-enabled video camera for developers

MLSolutionsLab
Brainstorming
Custom modeling
Training
Work side-by-side with Amazon experts
Practical education on ML for new & experienced practitioners
Based on the same material used to train Amazon developers
How we can help…
AWS Machine Learning University

ml.aws

Digital Transformation

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