Data Led Migration

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Unlock innovation and accelerate
change with data and analytics
Sandy Carter
Vice President, WWPS Partners and Programs
Amazon Web Services

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We need to unlock innovation!

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Data is a strategic asset for every organization
The world’s most
valuable resource is
no longer oil, but data.*
*Copyright: The Economist, 2017, David Parkins
“
”

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DATA
Build or migrate
an application
Realize benefits
(cost, management, scale)
Deliver new insights
(data lakes, analytics)
Accelerate innovation
(active archive, IoT, AI)
…and data in the cloud has gravity

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The importance of data
IDG Data and Analytics Survey 2021
Data and Analytics is the technology initiative expected to drive the most IT
investment in 2021, according to the 2021 State of the CIO survey. 86% of
organizations have either already deployed or have data-driven projects on
their roadmaps, up from 68% in 2016
Organizations Build On Previous Data & Analytics Successes: More than half
of survey respondents (55%) say that they have already deployed or are in
the process of implementing data-driven projects. 61% agree that the
pandemic accelerated their organization’s data-driven strategy
The Future of Jobs: Data science and analytics skills will become essential
to every job, especially leadership roles. While 92% of respondents are
“willing” to learn new data skills, only 57% are “extremely” or “very”
enthusiastic to work more with data.
86%
61%
57%

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Trend 1: Data and Analytics at the Edge. By 2023, over 50% of the primary
responsibility of data and analytics leaders will comprise data created,
managed and analyzed in edge environments.
Trend 2: Data and Analytics as a Core Business Function. By 2022, over 75% of
centrally organized analytics programs will be replaced by a hybrid
organizational model that shares power with local domain data and analytics
leaders.
Trend 3: Data Fabric is the Foundation. By 2023, AI in the data fabric will be
capable of reducing data quality and data mastering ongoing operations
costs up to 65%.
Trend 4: From Big to Small and Wide Data. By 2025, 70% of organizations will
be compelled to shift their focus from big to small and wide data, providing
more context for analytics and making AI less data hungry.
50 %
The importance of data
Gartner “Top Trends in Data and Analytics” report, 2021
75 %
65 %
70 %

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BUSINESS
STRATEGY
DATA
STRATEGY
INFORMS & GUIDES
SET REQUIREMENTS FOR
Business & Data Strategy

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DEFINE DATA
A
STRATEGY
Ensuring that data is managed and used like an asset.

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Data is an
organizational asset
Data is
accessible
Data is put
to work
No longer kept in silos
or as the property of
individual departments
Available easily and securely
to anyone who needs
access to it
Used in analytics and ML
to make better decisions,
create efficiencies, and
drive new innovations
A data-driven organization means…
© Amazon Web Services Inc. or its affiliates. All rights reserved.

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Data Transformation: eVision
 1 New Product ; 1 Modernized
Product
 Data Migration to AWS
Managed Database
 Underlying unified AWS Data
Lake and embedded Analytics
 Greater accessibility of data to
a variety of stakeholders
 Application flexibility
 Diversified Channel strategy
 Reduced eVisions end
customer ProServ
implementation needs/time

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Cloud Driven Analytics with Partners
Rapid Analytics with Snowflake
 Requires near-zero management
 Combines all of the customer’s
data for all users and allows data
sharing.
Understand Data with Tableau
 Helping people see and
understand data.
 Uncover new insights and
opportunities
 Create a culture of data-driven
decision-making

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The Hot New Role: The Data Strategist

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Before you have
a machine learning
strategy, you need a
data strategy.
Data quality
Data quantity
Data source

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Data quality & quantity: IOT
• Billions Of Devices Helping Make Better Business Decisions

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Electronic Caregiver
• Automated home health system
for the aging, at-risk, disabled
• Personalized, monitored
medication reminders
Innovation in Healthcare

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Remote data collection at scale
Unmanned Surface Vehicles
• Antarctic Mission: 44 Saildrones, 72
Datasets, 25 variables, ~289 million
samples
• 15 instruments measure air, surface and
subsurface data
• Real-time satellite streaming of multiple
data sources.

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Data from IoT and mission go hand in hand

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Data led migration is not just about
moving the data to the cloud.
It is about moving the data to gain
insights and value from an existing/built
analytic engine or machine learning
model.

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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 migration
Analytics
Data lake infrastructure & management
Data, visualization, engagement, & machine learning
Dashboards Predictive Analytics
Data
Four Strategic Steps for Data for Real Time Value

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Migration Acceleration Program (MAP) 2.0
partner funding by phase
Cash for AWS Partner
mobilize project costs
Cash for AWS Partner migration
& modernization project costs
Cash for AWS Partner
delivered business case
Assess Mobilize Migrate & modernize
Funding available for AWS Migration Competency Consulting Partners
“The MAP program at AWS is the most generous and well-designed program in the market to help organizations get to
the cloud. AWS considered all the challenges organizations would face – migration skills, operations, upfront costs, and
long-term budget – and put together an offering to address them categorically.”
TC Ratnapuri, founder and chairman; Doug VanDyke, CEO, Enquizit

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What is a Data Lake?
D A T A L A K E S A R E T H E F U T U R E O F D A T A M A N A G E M E N T

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Why choose AWS for data lakes and analytics?
Most secure
infrastructure for
analytics
Most scalable
and cost
effective
Easiest to build
data lakes and
analytics
Most
comprehensive
and open
1 2 3 4

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S e t u p
S t o r a g e
1
M o v e
d a t a
2
C l e a n s e a n d
p r e p d a t a
3
C o n f i g u r e a n d e n f o r c e
s e c u r i t y a n d c o m p l i a n c e
p o l i c i e s
4
M a k e d a t a a c c e s s i b l e
f o r a n a l y t i c s
5
Steps for building and managing a data lake

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Cloud Driven Analytics with Partners
Rapid Analytics with Snowflake
 Requires near-zero management
 Combines all of the customer’s
data for all users and allows data
sharing.
Understand Data with Tableau
 Helping people see and
understand data.
 Uncover new insights and
opportunities
 Create a culture of data-driven
decision-making

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Tens of thousands of data lakes run on AWS across all industries
More data lakes and analytics than anywhere else

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Put machine learning in the hands
of every developer and data
scientist

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Use of ML is growing in State & Local Government

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What’s the power of AI and ML?
Optimizing
business with
new efficiencies
Create greater efficiency
through sophisticated
demand planning and
forecasting models
Smarter, faster
decision making
Make more informed,
faster decisions to act on
opportunities sooner and
get better results
Adding new
capabilities to
existing products
Enrich existing products,
improving customer
engagement and
attracting new
users through
deeper experiences
Inventing
net-new products
Leverage data to
develop revolutionary
ideas and bring new
products to market

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Why is AI important in the public sector?
Medical and academic research
Citizen communications Automated data processing from documents
Fraud detection Remote learning Forecasting demand and
planning capacity

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AI opportunity in the public sector
“AI is expected to deliver an additional $939 billion in value, which
is an increase of 25%, in the productivity and impact returned from
taxpayer dollars. This is across the public sectors of 16 major
developed economies.”
• – Accenture, Artificial Intelligence, Genuine Impact: Public Services in the Era of Artificial Intelligence, 2018
Organizations and Industries are poised
for transformation in the near future
– Deloitte, State of AI in the enterprise, 3rd Edition, 2020

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DARPA: Today With Explainable AI
Training
Data
Machine
Learning
Process
Learned
Function
Why did you do that?
Why not something else?
When do you succeed?
When do you fail?
When do I trust you?
How do I correct and error?
Task
User
Decision or
Recommendation
Explanation
Interface
Explainable
Model
New
Machine
Learning
Process
Training
Data
I understand why
I understand why not
I know when you succeed
I know when you fail
I know when to trust you
I know why you erred
Task
User
Today
XAI

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Our mission to Mars

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Whose data has gravity?

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finra
Moved data from 170
applications to the cloud
- 100 billion financial
transactions/day
Analytics on
- Stock and options
transactions
- Badge and access
information
- Cyber threats

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Aguas Nuevas
Water controller in Chile
- 550,000 users
Analytics:
- Alert services for equipment

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Fireside Chat with Splunk (TBC)

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Fireside Chat with Databricks (TBC)

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US Citizenship & Immigration Services
Moved 240B data rows to cloud in 1 week
- Increase data sources from 30 to 75
- Used by 7,000 data analysts/scientists
Get analytics 24x faster for
- Application forms submitted most
- Predicting next year applications
- Probability of no-shows
- Evaluating interviews for trends

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AWS APN Partner Community
Are you an
interested customer
and want to explore
further?
Explore APN Programs
https://aws.amazon.com/part
ners/programs/
Join APN
https://partnercentral.awspartne
r.com/AWS_Partner_Application
Contact AWS WWPS
Data-Led Migration Team
wwps-dlm@amazon.com
Are you looking to
become an AWS
Partner? Join our AWS
Partner Network (APN)
Are you an existing
AWS Partner looking
to accelerate data led
migrations?

41. Thank you!
© 2021, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Sandy Carter
AWS Vice President, WWPS
Partners and Programs
@Sandy_Carter