Cloud technology will be the backbone infrastructure for more sustainable cities of the future, but you can start transforming your city today. AWS and our partner ecosystem can help you implement smart city solutions to support your goals around energy efficiency, air quality, intelligent transportation, public safety, public health, and other programs focused on improving quality of life for your citizens. What makes a city smart? Your data and your vision! By leveraging the multiple data sources that you have today and integrating additional datasets, you can design modern programs and services that make a city smart. Through sensors, connectivity, and analytics, AWS can help you begin your transformation.

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The AWS Way to Smart Cities
Chris Masey
Non Profit Sector Account Manager

2. Smart City – what is it?
Customer success stories
Cloud Computing & AWS
Voice – the new frontier
Q & A
Agenda

3. The evolution of a Smart City
The journey towards citizen-centricity
1.0 2.0
Emergence of IoT
Technologies
Overwhelming
amounts of Data
Strategic
roadmaps
Experimental pilot
Solutions Using a Data-Driven
strategy
Focusing on a
Citizen- centric
approach
Graph :

4. ACCORDING TO
THE UK GOV
ACCORDING TO
THE EU
ACCORDING TO
THE LITERATURE
’…a Smart City should enable
every citizen to engage with all
the services on offer, public as
well as private, in a way best
suited to his or her needs.’
-- Smart Cities Background Paper
Gov.uk (2013)
’…a Smart City is a city seeking to
address public issues via ICT-based
solutions on the basis of a multi-
stakeholder, municipally based
partnership.’
-- Mapping Smart Cities In The EU: Study –
European Parliament (2014).
‘…a City may be called ‘Smart’
when investments in human and
social capital and traditional and
modern communication
infrastructure fuel sustainable
economic growth and a high
quality of life, with a wise
management of natural resources
through participatory governance.’
-- Schaffers et al. (2011)
Mobility &
Urban
Planning
Innovation
Citizen
Centric
Services

5. Smart City is a horizontalS M A R T C I T I E S

7. T E C H N O L O G I E S
Internet of
things
Augmented
reality
VoiceData lakesArtificial intelligence /
machine learning

8. Companies want more value from their data
Complications:
Siloed approaches don’t work anymore
It’s too expensive and limiting to store data
on-premises
Data is:
Implication:
A new approach is needed to extract insights
and value
Growing
exponentially
From new
sources
Increasingly
diverse
Used by
many people
Analysed by
many applications

9. Cloud Data Lakes are the future
Customers want:
To eliminate siloes of data
To move to a single store, i.e. a data lake in the
cloud
To store data securely in standard formats
To grow to any scale, with low costs
To analyse their data in a variety of ways
To have real-time analytics
To predict future outcomes
Data lake

10. Data warehouse
Business intelligence
OLTP ERP CRM LOB
• Relational and nonrelational data
• TBs–EBs scale
• Diverse analytical engines
• Low-cost storage & analytics
Devices Web Sensors Social
Data lake
Big data processing,
real-time, machine learning
Data Lakes on the rise

12. Internet of Things (IoT) is a set
of products, services and
processes that converts real-
world things into digital
equivalents for data processing.

13. The IoT Stack
AWS IoT Device Management
AWS IoT Core – secure device
connectivity and messaging
Connectivity
Edge
Sense Amazon Free RTOS
AWS IoT Greengrass
Store
Data
Platform AWS IoT SiteWise & IoT Events
AWS IoT Analytics
Amazon SageMakerAI / ML
Analytics
IoTDeviceDefender
AuditandProtection

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N E W P O R T
ARRIVE IN THE
FUTURE, TODAY
“We were able to complete a full
evaluation ahead of schedule and quickly
see our smart city initiative, the Newport
Intelligence Hub, coming to light.”
Shaun Powell
Shaun Powell, Intelligence Hub Manager, Newport City Council

15. of digital transformation initiatives
supported by AI in 201940% —IDC 2018
Centerpiece for digital transformation
Customer
experience
Business operations Decision
making
Innovation Competitive
advantage

16. ML frameworks
& infrastructure
AI services
Vision | Documents | Speech | Language | Chatbots | Forecasting | Recommendations
ML services
Data labeling | Pre-built algorithms and notebooks | One-click training and deployment
Build, train, and deploy machine learning models fast
Easily add intelligence to applications without machine learning skills
Flexibility and choice, highest-performing infrastructure
Support for ML frameworks | Compute options purpose-built for ML
Amazon ML: Broadest and deepest functionality

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18. Ambient Computing
Howweinteractwithmachines?
Character
GUI
Web
Mobile
VUI
1970’s 1980’s 1990’s 2000’s NOW

19. Language Support:
 English (Australia)
 English (Canada)
 English (India)
 English (UK)
 English (US)
 French (FR)
 German
 Italian
 Japanese
 Spanish (ES)
 Spanish (MX)
“It's giving more liberal access to people that are vulnerable or at
home or are lonely, or partially satisfied," says Grant. "It gives it's
a much more democratic way of getting people services they
want, rather than them having to phone us up or even to come in.
It's pushing that cost down, but also the value up of other
interactions with the council.”
-- Aylesbury Vale District Council
Access information using voice
Natural way humans interact

20. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.And interactively… with Augmented Reality

22. Thank you!
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.