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1© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 1© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Centerpiece for digital transformation
Sachin Punyani
Solutions Architect
AWS | Artificial Intelligence
2© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
40% of digital transformation initiatives
supported by AI in 2019
—IDC 2018
InnovationDecision
making
Customer
experience
C E N T E R P I E C E F O R D I G I T A L T R A N S F O R M A T I O N
Business
operations
Competitive
advantage
3© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Our mission at AWS
Put machine learning in the
hands of every developer
4© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
W H Y A W S F O R A I ?
200 new features and services
launched this last year alone
Unmatched flexibility
Broadest and
deepest set of AI
and ML services
70% cost reduction
in data-labeling
10x faster performance
75% lower inference cost
Accelerate your
adoption of ML
with SageMaker
Built on the most
comprehensive cloud
platform optimized for ML
AWS holds the top spots
on Stanford’s benchmark,
for fastest training time, lowest
cost, lowest inference latency
5© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
10,000+ customers | 2x the customer references | 85% of TensorFlow projects in the cloud happen on
AWS
6© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 6© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Technology
Bringing AI into your digital transformation requires
a new “stack” that makes it easier to put ML to work
7© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
FRAMEWORKS INTERFACES INFRASTRUCTURE
AI Services
Broadest and deepest set of capabilities
T H E A W S M L S T A C K
VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS
ML Services
ML Frameworks + Infrastructure
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 F O R E C A S TR E K O G N I T I O N
I M A G E
R E K O G N I T I O N
V I D E O
T E X T R A C T 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 I N F E R E N T I AG 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
8© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
FRAMEWORKS INTERFACES INFRASTRUCTURE
AI Services
Broadest and deepest set of capabilities
T H E A W S M L S T A C K
VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS
ML Services
ML Frameworks + Infrastructure
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 F O R E C A S TR E K O G N I T I O N
I M A G E
R E K O G N I T I O N
V I D E O
T E X T R A C T 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 I N F E R E N T I AG 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
9© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Bringing machine learning to all developers
A M A Z O N S A G E M A K E R
Collect and
prepare
training data
Choose and
optimize your
ML algorithm
Set up and
manage
environments
for training
Train and
tune model
(trial and error)
Deploy
model in
production
Scale and
manage the
production
environment
10© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Bringing machine learning to all developers
A M A Z O N S A G E M A K E R
Collect and
prepare
training data
Choose and
optimize your
ML algorithm
Set up and
manage
environments
for training
Train and
tune model
(trial and error)
Deploy
model in
production
Scale and
manage the
production
environment
Pre-built
notebooks for
common
problems
11© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Bringing machine learning to all developers
A M A Z O N S A G E M A K E R
Collect and
prepare
training data
Choose and
optimize your
ML algorithm
Pre-built
notebooks for
common
problems
Built-in, high
performance
algorithms
• K-Means Clustering
• Principal Component Analysis
• Neural Topic Modelling
• Factorization Machines
• Linear Learner (Regression)
• BlazingText
• Reinforcement learning
• XGBoost
• Topic Modeling (LDA)
• Image Classification
• Seq2Seq
• Linear Learner (Classification)
• DeepAR Forecasting
12© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Bringing machine learning to all developers
A M A Z O N S A G E M A K E R
Collect and
prepare
training data
Choose and
optimize your
ML algorithm
Set up and
manage
environments
for training
Train and
tune model
(trial and error)
Deploy
model in
production
Scale and
manage the
production
environment
Pre-built
notebooks for
common
problems
Built-in, high
performance
algorithms
One-click
training
13© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Bringing machine learning to all developers
A M A Z O N S A G E M A K E R
Collect and
prepare
training data
Choose and
optimize your
ML algorithm
Set up and
manage
environments
for training
Train and
tune model
(trial and error)
Deploy
model in
production
Scale and
manage the
production
environment
Pre-built
notebooks for
common
problems
Built-in, high
performance
algorithms
One-click
training Optimization
14© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Bringing machine learning to all developers
A M A Z O N S A G E M A K E R
Collect and
prepare
training data
Choose and
optimize your
ML algorithm
Set up and
manage
environments
for training
Train and
tune model
(trial and error)
Deploy
model in
production
Scale and
manage the
production
environment
Pre-built
notebooks for
common
problems
Built-in, high
performance
algorithms
One-click
training Optimization
One-click
deployment
15© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Collect and
prepare
training data
Choose and
optimize your
ML algorithm
Set up and
manage
environments
for training
Train and
tune model
(trial and error)
Deploy
model in
production
Scale and
manage the
production
environment
Pre-built
notebooks for
common
problems
Built-in, high
performance
algorithms
One-click
training Optimization
One-click
deployment
Fully managed with
auto-scaling, health
checks, automatic
handling
of node failures,
and security checks
Bringing machine learning to all developers
A M A Z O N S A G E M A K E R
16© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
One-click
model training
and deployment
Train once
run anywhere
10x
better algorithm
performance
2x
performance increases from
model optimization with Neo
70%
cost reduction for data
labeling using Ground Truth
75%
cost reduction for inference
with Elastic Inference
REDUCE COSTS INCREASE PERFORMANCE EASE-OF-USE
C U S T O M M A C H I N E L E A R N I N G F O R Y O U R B U S I N E S S
AMAZON SAGEMAKER
17© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
• 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
T H E B E S T P L A C E T O R U N T E N S O R F L O W
Amazon SageMaker is the best place
to run TensorFlow in the cloud
65% Stock
TensorFlow
AWS-optimized
TensorFlow90%
18© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 18© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Enhancing the
fan experience
One week of NFL games now creates 3 TB of
data. NFL uses Amazon SageMaker to analyze
telemetry data to predict plays. Computations
that could take months to refine now take only
weeks or days.
19© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
20© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
FRAMEWORKS INTERFACES INFRASTRUCTURE
AI Services
Broadest and deepest set of capabilities
T H E A W S M L S T A C K
VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS
ML Services
ML Frameworks + Infrastructure
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 F O R E C A S TR E K O G N I T I O N
I M A G E
R E K O G N I T I O N
V I D E O
T E X T R A C T 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 I N F E R E N T I AG 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
21© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Modernize your contact center to improve customer service
P U T A I T O W O R K F O R Y O U R B U S I N E S S
conversational chat bots | call transcription | intelligent routing | sentiment analysis
VoC analytics text-to speech | multilingual omni-channel communication
POLLY TRANSCRIBE TRANSLATE COMPREHEND LEX
22© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 22© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Meaningful
customer interactions
Liberty Mutual uses Amazon Lex and AI Services
to develop natural language-driven conversational
apps to allow customer service agents to respond
to customer requests with real-time and contextual
intelligence, improving response time,
and quality of service.
23© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Use AI services to strengthen safety and security
P U T A I T O W O R K F O R Y O U R B U S I N E S S
accurate facial analysis | identity protection | metadata extraction
REKOGNITION
IMAGE
COMPREHEND &
COMPREHEND MEDICAL
REKOGNITION
VIDEO
24© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 24© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Protecting Children’s
Rights
Bachpan Bachao Andolan uses Amazon
Rekognition to match online information against
reports of abandoned and missing children.
xx
25© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Automate media workflows to reduce costs and monetize content
P U T A I T O W O R K F O R Y O U R B U S I N E S S
content moderation | contextual ad insertion | searchable media library
custom facial recognition | multi-language metadata search
REKOGNITION
IMAGE
REKOGNITION
VIDEO
COMPREHEND TRANSCRIBE TRANSLATE TEXTRACT

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Alexa for Education

  • 1. 1© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 1© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Centerpiece for digital transformation Sachin Punyani Solutions Architect AWS | Artificial Intelligence
  • 2. 2© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 40% of digital transformation initiatives supported by AI in 2019 —IDC 2018 InnovationDecision making Customer experience C E N T E R P I E C E F O R D I G I T A L T R A N S F O R M A T I O N Business operations Competitive advantage
  • 3. 3© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Our mission at AWS Put machine learning in the hands of every developer
  • 4. 4© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | W H Y A W S F O R A I ? 200 new features and services launched this last year alone Unmatched flexibility Broadest and deepest set of AI and ML services 70% cost reduction in data-labeling 10x faster performance 75% lower inference cost Accelerate your adoption of ML with SageMaker Built on the most comprehensive cloud platform optimized for ML AWS holds the top spots on Stanford’s benchmark, for fastest training time, lowest cost, lowest inference latency
  • 5. 5© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 10,000+ customers | 2x the customer references | 85% of TensorFlow projects in the cloud happen on AWS
  • 6. 6© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 6© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Technology Bringing AI into your digital transformation requires a new “stack” that makes it easier to put ML to work
  • 7. 7© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | FRAMEWORKS INTERFACES INFRASTRUCTURE AI Services Broadest and deepest set of capabilities T H E A W S M L S T A C K VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS ML Services ML Frameworks + Infrastructure 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 F O R E C A S TR E K O G N I T I O N I M A G E R E K O G N I T I O N V I D E O T E X T R A C T 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 I N F E R E N T I AG 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
  • 8. 8© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | FRAMEWORKS INTERFACES INFRASTRUCTURE AI Services Broadest and deepest set of capabilities T H E A W S M L S T A C K VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS ML Services ML Frameworks + Infrastructure 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 F O R E C A S TR E K O G N I T I O N I M A G E R E K O G N I T I O N V I D E O T E X T R A C T 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 I N F E R E N T I AG 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
  • 9. 9© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Bringing machine learning to all developers A M A Z O N S A G E M A K E R Collect and prepare training data Choose and optimize your ML algorithm Set up and manage environments for training Train and tune model (trial and error) Deploy model in production Scale and manage the production environment
  • 10. 10© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Bringing machine learning to all developers A M A Z O N S A G E M A K E R Collect and prepare training data Choose and optimize your ML algorithm Set up and manage environments for training Train and tune model (trial and error) Deploy model in production Scale and manage the production environment Pre-built notebooks for common problems
  • 11. 11© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Bringing machine learning to all developers A M A Z O N S A G E M A K E R Collect and prepare training data Choose and optimize your ML algorithm Pre-built notebooks for common problems Built-in, high performance algorithms • K-Means Clustering • Principal Component Analysis • Neural Topic Modelling • Factorization Machines • Linear Learner (Regression) • BlazingText • Reinforcement learning • XGBoost • Topic Modeling (LDA) • Image Classification • Seq2Seq • Linear Learner (Classification) • DeepAR Forecasting
  • 12. 12© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Bringing machine learning to all developers A M A Z O N S A G E M A K E R Collect and prepare training data Choose and optimize your ML algorithm Set up and manage environments for training Train and tune model (trial and error) Deploy model in production Scale and manage the production environment Pre-built notebooks for common problems Built-in, high performance algorithms One-click training
  • 13. 13© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Bringing machine learning to all developers A M A Z O N S A G E M A K E R Collect and prepare training data Choose and optimize your ML algorithm Set up and manage environments for training Train and tune model (trial and error) Deploy model in production Scale and manage the production environment Pre-built notebooks for common problems Built-in, high performance algorithms One-click training Optimization
  • 14. 14© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Bringing machine learning to all developers A M A Z O N S A G E M A K E R Collect and prepare training data Choose and optimize your ML algorithm Set up and manage environments for training Train and tune model (trial and error) Deploy model in production Scale and manage the production environment Pre-built notebooks for common problems Built-in, high performance algorithms One-click training Optimization One-click deployment
  • 15. 15© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Collect and prepare training data Choose and optimize your ML algorithm Set up and manage environments for training Train and tune model (trial and error) Deploy model in production Scale and manage the production environment Pre-built notebooks for common problems Built-in, high performance algorithms One-click training Optimization One-click deployment Fully managed with auto-scaling, health checks, automatic handling of node failures, and security checks Bringing machine learning to all developers A M A Z O N S A G E M A K E R
  • 16. 16© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | One-click model training and deployment Train once run anywhere 10x better algorithm performance 2x performance increases from model optimization with Neo 70% cost reduction for data labeling using Ground Truth 75% cost reduction for inference with Elastic Inference REDUCE COSTS INCREASE PERFORMANCE EASE-OF-USE C U S T O M M A C H I N E L E A R N I N G F O R Y O U R B U S I N E S S AMAZON SAGEMAKER
  • 17. 17© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | • 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 T H E B E S T P L A C E T O R U N T E N S O R F L O W Amazon SageMaker is the best place to run TensorFlow in the cloud 65% Stock TensorFlow AWS-optimized TensorFlow90%
  • 18. 18© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 18© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Enhancing the fan experience One week of NFL games now creates 3 TB of data. NFL uses Amazon SageMaker to analyze telemetry data to predict plays. Computations that could take months to refine now take only weeks or days.
  • 19. 19© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
  • 20. 20© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | FRAMEWORKS INTERFACES INFRASTRUCTURE AI Services Broadest and deepest set of capabilities T H E A W S M L S T A C K VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS ML Services ML Frameworks + Infrastructure 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 F O R E C A S TR E K O G N I T I O N I M A G E R E K O G N I T I O N V I D E O T E X T R A C T 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 I N F E R E N T I AG 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
  • 21. 21© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Modernize your contact center to improve customer service P U T A I T O W O R K F O R Y O U R B U S I N E S S conversational chat bots | call transcription | intelligent routing | sentiment analysis VoC analytics text-to speech | multilingual omni-channel communication POLLY TRANSCRIBE TRANSLATE COMPREHEND LEX
  • 22. 22© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 22© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Meaningful customer interactions Liberty Mutual uses Amazon Lex and AI Services to develop natural language-driven conversational apps to allow customer service agents to respond to customer requests with real-time and contextual intelligence, improving response time, and quality of service.
  • 23. 23© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Use AI services to strengthen safety and security P U T A I T O W O R K F O R Y O U R B U S I N E S S accurate facial analysis | identity protection | metadata extraction REKOGNITION IMAGE COMPREHEND & COMPREHEND MEDICAL REKOGNITION VIDEO
  • 24. 24© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 24© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Protecting Children’s Rights Bachpan Bachao Andolan uses Amazon Rekognition to match online information against reports of abandoned and missing children. xx
  • 25. 25© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Automate media workflows to reduce costs and monetize content P U T A I T O W O R K F O R Y O U R B U S I N E S S content moderation | contextual ad insertion | searchable media library custom facial recognition | multi-language metadata search REKOGNITION IMAGE REKOGNITION VIDEO COMPREHEND TRANSCRIBE TRANSLATE TEXTRACT
  • 26. 26© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 26© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 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.
  • 27. 27© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Reduce localization costs and improve accuracy P U T A I T O W O R K F O R Y O U R B U S I N E S S custom vocabulary | timestamp generation | secure real-time translation | language identification POLLY TRANSCRIBE TRANSLATE COMPREHEND
  • 28. 28© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 28© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 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.
  • 29. 29© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Personalize customer experiences with targeted recommendations P U T A I T O W O R K F O R Y O U R B U S I N E S S recommendation technology used by Amazon.com | context-aware recommendations sentiment analysis | VoC analytics PERSONALIZE REKOGNITION IMAGE REKOGNITION VIDEO COMPREHEND
  • 30. 30© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 30© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 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.
  • 31. 31© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | FRAMEWORKS INTERFACES INFRASTRUCTURE AI Services Broadest and deepest set of capabilities THE AWS ML STACK VISION SPEECH LANGUAGE CHATBOTS FORECASTING RECOMMENDATIONS ML Services ML Frameworks + Infrastructure 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 F O R E C A S TR E K O G N I T I O N I M A G E R E K O G N I T I O N V I D E O T E X T R A C T 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 I N F E R E N T I AG 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
  • 32. 32© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 32© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Setting your organization up for success Culture
  • 33. 33© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 1 Create the loop Connect technology initiatives with business outcomes 2 Assess your structured and unstructured data sources Advance your data strategy ? 3 Put machine learning in the hands of your developers Organize for success
  • 34. 34© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | H O W W E C A N H E L P • Brainstorming • Custom modeling • Training • Work side-by-side with Amazon experts ML Solutions Lab • Practical education on ML for new and experienced practitioners • Based on the same material used to train Amazon developers Machine Learning Training and Certification
  • 35. 35© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | AI.aws Thank you!