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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 |
Digital Transformation Day
Kuwait
Digital Transformation on AWS
Tarek El-Elaimy
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
ENTERPRISES FACE
A CHANGING ENVIRONMENT
?
H i g h c u s t o m e r
e x p e c t a t i o n s ,
f i c k l e n e s s
L o w b a r r i e r s
t o e n t r y
C o n s t a n t , r a p i d c h a n g e
a n d u n c e r t a i n t y
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
WHAT
ENTERPRISES
WHAT ENTERPRISES
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
ENTERPRISES HAVE
EXISTING ADVANTAGES
D e e p
k n o w l e d g e
o f t h e i r
m a r k e t s
S k i l l e d a n d
c o m m i t t e d
e m p l o y e e s
F i n a n c i a l
a n d o t h e r
r e s o u r c e s
C u s t o m e r
b a s e a n d
b r a n d
e q u i t y
O p e r a t i o n a l
p r o c e s s e s ,
c o m p l i a n c e
c e r t i f i c a t i o n s
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
THE ENTERPRISE CHALLENGE:
WHILE MAKING THE MOST OF YOUR STRENGTHS
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
EXISTING
INFRASTRUCTURE
ESTABLISHE
D
PROCESSES
CULTURAL
RESISTANCE
BUT…..CHANGE IS HARD
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
WITH AN EMBEDDED TECHNOLOGY CHALLENGE
TO TRANSFORM
T H E E N T E R P R I S E N E E D S T O …
1
GAIN TECHNICAL
FLEXIBILITY
AND SPEED
TO TRANSFORM
T H E E N T E R P R I S E N E E D S T O …
2
CREATE AN ENVIRONMENT
OF INNOVATION
TO TRANSFORM
T H E E N T E R P R I S E N E E D S T O …
3
ENSURE SECURITY
AND COMPLIANCE
BUILDING AGILITY TO RESPOND TO
OPPORTUNITIES
+ REMOVING BARRIERS TO INNOVATION
+ A SECURE ENVIRONMENT
TRANSFORMATION
12© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
CHALLENGE
Needed to analyze data to find
insights, identify opportunities, and
evaluate business performance.
The Oracle DW did not scale, was
difficult to maintain, and costly.
SOLUTION
Deployed a data lake with S3, and run
analytics with Redshift, Redshift
Spectrum, and EMR.
Result: they doubled the data stored
(100PB), lowered costs, and was able to
gain insights faster.
50PB of data
600,000 analytics jobs/day
S3
DynamoDB
Relational Stores
Non Relational Stores
S3
Kinesis
Data Lake Web
Interface
Data Lake APIs
Workflows
service
Discovery
service
Data
Ingestion
Subscription
Service
Data security and governance
EMR
Redshift
Redshift Spectrum
Other Compute
Source systems Big data marketplace Analytics
100PB
Data Quality
/ Curation
14© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 14© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Building a bank
of the future
Emirates NBD uses Amazon SageMaker, Amazon
Personalize, and Amazon Polly to create a culture of
innovation within the bank and build personalized
banking experiences for their customers.
15© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 15© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Predicting deliver transit
times more accurately
Aramex uses Amazon SageMaker to predict the
whereabouts and arrival times of their deliveries,
achieving a 74% increase in accuracy and in turn
reducing their delivery-related call volume by 40%.
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
McDonald’s brings
home delivery to
market in four months​
“This was a four month-duration for us—
from idea, to development to massive
scale. That's the new norm that we see
everyday.”
– Thilina Gunasinghe, Chief Technology Architect,
McDonald’s
Cost sensitive—
selling
hamburgers!
Multi-country
support, each
with multiple
delivery partners
Scalability and
reliability to deliver
over 1 million
orders per hour
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Ryanair personalizes
customer travel plans
with machine learning
“Machine learning is hugely important to
our growth, and we’re pursuing a variety
of AWS machine learning services,
including Amazon SageMaker, to
personalize the MyRyanair portal for
every unique traveler.”
–John Hurley, Chief Technology Officer, Ryanair
Routes support
requests to the right
assistance type
Automatically
detects flight
surge demand
Enhances and
personalizes
customer experience
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
FreshDesk Creates
Automated Chat
Agents
Routes support
requests to the right
assistance type
Reduce Customer
Calls to Call Center
Enhances and
personalizes
customer experience
Freshbots combine Automatic Speech Recognition (ASR) and
Natural Language Understanding (NLU) capabilities of Amazon Lex
with in-house workflows to automate customer service
Users transact using natural language leading to significant
productivity improvements
Customer support agents can make intelligent decisions to enhance
customer experience
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
CSPAN Automates
Video/Image
recognition
Quick Time to
market solution.
Accelerate Business
Outcomes
Reduce Labor Time
& Effort
Built in 3 weeks
Index against 99,000 people Database
Saving ~9,000 hours a year in labor of identifying individuals in videos
/ Images.
Utilized Amazon Recognition which is a low cost low effort AI Service
“Healthdirect Australia operates in a heavily regulated industry, and it is
critical that our compliance data is correct and auditable. With Amazon
QLDB we look forward to having a complete and verifiable history of
every change in our system, making it simple to audit when and how we
arrived at our current state. Regulatory compliance is fact of life for
healthcare companies, and Amazon QLDB enables us to easily track the
controls we have in place and understand how they have changed over
time.”
—Bruce Haefele
General Manager, Technology, Healthdirect Australia
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
FORTNITE uses AWS data lakes and
analytics
Cost Efficient and
resilient Solution.
Improving Customer
Experience
Handling Data at
Scale
Epic Games needed an up-to-the-minute understanding of gamer
satisfaction for game designers to respond and keep gamers
engaged.
Billions of records are collected on a daily basis. 14 petabytes of
data are stored in an Amazon S3 Data Lake, which is growing by
2 petabytes per month. Telemetry data is sent through Amazon
Kinesis Data Streams to two primary pipelines for real-time
queries and batch analytics using Amazon EMR.
Game designers can instantly learn how the Fortnite community
is responding to
updates and new game elements and almost instantly respond to
improve the game.
22© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Epic Games uses AWS Data Lakes
and Analytics
• Entire analytics platform
running on AWS
• Amazon S3 leveraged
as a data lake
• All telemetry data is collected
with Amazon Kinesis
• Real-time analytics done
through Spark on Amazon EMR,
DynamoDB to create scoreboards
and real-time queries
• Use Amazon EMR for large
batch data processing
• Game designers use data
to inform their decisions
Near real-time pipeline
Near real-time pipelines
Near real-time pipeline
Batch pipelines
Grafana
Scoreboards API
Limited raw data
real time
ad-hoc SQL
Tableau/BI
Ad-hoc SQL
DynamoDB
Game clients
Game servers
Launcher
Game services
Kinesis
Spark on EMR
User ETL
Metric definition
APIs
Other sources
S3
Databases
ETL using
EMR
S3
(Data lake)
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
And many more………………..
24© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Cloud data lakes are the future
Customers want:
A single data store that is scalable & cost effective
To store data securely in standard formats
To analyze their data in a variety of ways
Cloud Data Lake
Infrastructure
Decoupled Storage
& Compute Resources
Security & Governance
Data
Migration
Streaming
Services
Data
Warehouse
Big Data
Processing
Serverless Data
Processing
Real-time
Analytics
Operational
Analytics
Predictive
AnalyticsETL & Catalog
Data Management
25© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Most comprehensive
Broadest and deepest portfolio, purpose-built for builders
Migration & Streaming Services
Infrastructure Data Catalog
& ETL
Security &
Management
Data
Warehousing
Big Data
Processing
Interactive
Query
Operational
Analytics
Real time
Analytics
Serverless
Data processing
Data Movement
Analytics
Data Lake Infrastructure & Management
Dashboards Predictive Analytics
Visualization, Engagement, & Machine Learning
Digital User Engagement
26© 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 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
& C O M P R E H E N D
M E D I C A L
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
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
D L
C O N T A I N E R S
& A M I s
E L A S T I C
K U B E R N E T E S
S E R V I C E
E L A S T I C
C O N T A I N E R
S E R V I C E
ML Services
Ground Truth Notebooks Algorithms + Marketplace Reinforcement Learning Training Optimization Deployment HostingAmazon SageMaker
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Most Robust, Fully Featured Technology Infrastructure Platform
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
CONTINUOUS SMALL
WINS CREATE CHANGE
R E S U LT S
O P P O S I T I O N
DON’T OVERANALYZE IT
JUST GET GOING, think BIG
start small...
30© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
Thank you!

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Digital transformation on aws

  • 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 | Digital Transformation Day Kuwait Digital Transformation on AWS Tarek El-Elaimy
  • 2. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. ENTERPRISES FACE A CHANGING ENVIRONMENT ? H i g h c u s t o m e r e x p e c t a t i o n s , f i c k l e n e s s L o w b a r r i e r s t o e n t r y C o n s t a n t , r a p i d c h a n g e a n d u n c e r t a i n t y
  • 3. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. WHAT ENTERPRISES WHAT ENTERPRISES
  • 4. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. ENTERPRISES HAVE EXISTING ADVANTAGES D e e p k n o w l e d g e o f t h e i r m a r k e t s S k i l l e d a n d c o m m i t t e d e m p l o y e e s F i n a n c i a l a n d o t h e r r e s o u r c e s C u s t o m e r b a s e a n d b r a n d e q u i t y O p e r a t i o n a l p r o c e s s e s , c o m p l i a n c e c e r t i f i c a t i o n s
  • 5. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. THE ENTERPRISE CHALLENGE: WHILE MAKING THE MOST OF YOUR STRENGTHS
  • 6. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. EXISTING INFRASTRUCTURE ESTABLISHE D PROCESSES CULTURAL RESISTANCE BUT…..CHANGE IS HARD
  • 7. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. WITH AN EMBEDDED TECHNOLOGY CHALLENGE
  • 8. TO TRANSFORM T H E E N T E R P R I S E N E E D S T O … 1 GAIN TECHNICAL FLEXIBILITY AND SPEED
  • 9. TO TRANSFORM T H E E N T E R P R I S E N E E D S T O … 2 CREATE AN ENVIRONMENT OF INNOVATION
  • 10. TO TRANSFORM T H E E N T E R P R I S E N E E D S T O … 3 ENSURE SECURITY AND COMPLIANCE
  • 11. BUILDING AGILITY TO RESPOND TO OPPORTUNITIES + REMOVING BARRIERS TO INNOVATION + A SECURE ENVIRONMENT TRANSFORMATION
  • 12. 12© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved |
  • 13. CHALLENGE Needed to analyze data to find insights, identify opportunities, and evaluate business performance. The Oracle DW did not scale, was difficult to maintain, and costly. SOLUTION Deployed a data lake with S3, and run analytics with Redshift, Redshift Spectrum, and EMR. Result: they doubled the data stored (100PB), lowered costs, and was able to gain insights faster. 50PB of data 600,000 analytics jobs/day S3 DynamoDB Relational Stores Non Relational Stores S3 Kinesis Data Lake Web Interface Data Lake APIs Workflows service Discovery service Data Ingestion Subscription Service Data security and governance EMR Redshift Redshift Spectrum Other Compute Source systems Big data marketplace Analytics 100PB Data Quality / Curation
  • 14. 14© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 14© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Building a bank of the future Emirates NBD uses Amazon SageMaker, Amazon Personalize, and Amazon Polly to create a culture of innovation within the bank and build personalized banking experiences for their customers.
  • 15. 15© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | 15© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Predicting deliver transit times more accurately Aramex uses Amazon SageMaker to predict the whereabouts and arrival times of their deliveries, achieving a 74% increase in accuracy and in turn reducing their delivery-related call volume by 40%.
  • 16. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. McDonald’s brings home delivery to market in four months​ “This was a four month-duration for us— from idea, to development to massive scale. That's the new norm that we see everyday.” – Thilina Gunasinghe, Chief Technology Architect, McDonald’s Cost sensitive— selling hamburgers! Multi-country support, each with multiple delivery partners Scalability and reliability to deliver over 1 million orders per hour
  • 17. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Ryanair personalizes customer travel plans with machine learning “Machine learning is hugely important to our growth, and we’re pursuing a variety of AWS machine learning services, including Amazon SageMaker, to personalize the MyRyanair portal for every unique traveler.” –John Hurley, Chief Technology Officer, Ryanair Routes support requests to the right assistance type Automatically detects flight surge demand Enhances and personalizes customer experience
  • 18. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. FreshDesk Creates Automated Chat Agents Routes support requests to the right assistance type Reduce Customer Calls to Call Center Enhances and personalizes customer experience Freshbots combine Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU) capabilities of Amazon Lex with in-house workflows to automate customer service Users transact using natural language leading to significant productivity improvements Customer support agents can make intelligent decisions to enhance customer experience
  • 19. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. CSPAN Automates Video/Image recognition Quick Time to market solution. Accelerate Business Outcomes Reduce Labor Time & Effort Built in 3 weeks Index against 99,000 people Database Saving ~9,000 hours a year in labor of identifying individuals in videos / Images. Utilized Amazon Recognition which is a low cost low effort AI Service
  • 20. “Healthdirect Australia operates in a heavily regulated industry, and it is critical that our compliance data is correct and auditable. With Amazon QLDB we look forward to having a complete and verifiable history of every change in our system, making it simple to audit when and how we arrived at our current state. Regulatory compliance is fact of life for healthcare companies, and Amazon QLDB enables us to easily track the controls we have in place and understand how they have changed over time.” —Bruce Haefele General Manager, Technology, Healthdirect Australia
  • 21. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. FORTNITE uses AWS data lakes and analytics Cost Efficient and resilient Solution. Improving Customer Experience Handling Data at Scale Epic Games needed an up-to-the-minute understanding of gamer satisfaction for game designers to respond and keep gamers engaged. Billions of records are collected on a daily basis. 14 petabytes of data are stored in an Amazon S3 Data Lake, which is growing by 2 petabytes per month. Telemetry data is sent through Amazon Kinesis Data Streams to two primary pipelines for real-time queries and batch analytics using Amazon EMR. Game designers can instantly learn how the Fortnite community is responding to updates and new game elements and almost instantly respond to improve the game.
  • 22. 22© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Epic Games uses AWS Data Lakes and Analytics • Entire analytics platform running on AWS • Amazon S3 leveraged as a data lake • All telemetry data is collected with Amazon Kinesis • Real-time analytics done through Spark on Amazon EMR, DynamoDB to create scoreboards and real-time queries • Use Amazon EMR for large batch data processing • Game designers use data to inform their decisions Near real-time pipeline Near real-time pipelines Near real-time pipeline Batch pipelines Grafana Scoreboards API Limited raw data real time ad-hoc SQL Tableau/BI Ad-hoc SQL DynamoDB Game clients Game servers Launcher Game services Kinesis Spark on EMR User ETL Metric definition APIs Other sources S3 Databases ETL using EMR S3 (Data lake)
  • 23. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. And many more………………..
  • 24. 24© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Cloud data lakes are the future Customers want: A single data store that is scalable & cost effective To store data securely in standard formats To analyze their data in a variety of ways Cloud Data Lake Infrastructure Decoupled Storage & Compute Resources Security & Governance Data Migration Streaming Services Data Warehouse Big Data Processing Serverless Data Processing Real-time Analytics Operational Analytics Predictive AnalyticsETL & Catalog Data Management
  • 25. 25© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Most comprehensive Broadest and deepest portfolio, purpose-built for builders Migration & Streaming Services Infrastructure Data Catalog & ETL Security & Management Data Warehousing Big Data Processing Interactive Query Operational Analytics Real time Analytics Serverless Data processing Data Movement Analytics Data Lake Infrastructure & Management Dashboards Predictive Analytics Visualization, Engagement, & Machine Learning Digital User Engagement
  • 26. 26© 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 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 & C O M P R E H E N D M E D I C A L 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 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 D L C O N T A I N E R S & A M I s E L A S T I C K U B E R N E T E S S E R V I C E E L A S T I C C O N T A I N E R S E R V I C E ML Services Ground Truth Notebooks Algorithms + Marketplace Reinforcement Learning Training Optimization Deployment HostingAmazon SageMaker
  • 27. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Most Robust, Fully Featured Technology Infrastructure Platform
  • 28. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. CONTINUOUS SMALL WINS CREATE CHANGE R E S U LT S O P P O S I T I O N
  • 29. DON’T OVERANALYZE IT JUST GET GOING, think BIG start small...
  • 30. 30© 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved | Thank you!