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DIGITAL TRANSFORMATION
Chris Hayman, Head of UK & I Public Sector, Amazon Web Services
30 October 2017
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
A W S G L O B A L
I N F R A S T R U C T U R E
16 Regions – 44 Availability Zones – 98 Edge Locations
Region & Number of Availability
Zones
AWS GovCloud (2) EU
Ireland (3)
US West Frankfurt (3)
Oregon (3) London (2)
Northern California (3)
Asia Pacific
US East Singapore (2)
N. Virginia (6), Ohio (3) Sydney (3), Tokyo (3),
Seoul (2), Mumbai (2)
Canada
Central (2) China
Beijing (2)
South America
São Paulo (3)
Announced Regions
Bahrain, China, France, Sweden,
Hong Kong, AWS Govcloud (US-East)
Europe / Middle East / Africa
EU (Ireland) Region EU (Frankfurt) Region
EC2 Availability Zones: 3 EC2 Availability Zones: 3
UK (London) Region EU (Paris) Region
EC2 Availability Zones: 2 Announced
Middle East (Bahrain) Region EU (Stockholm) Region
Announced Announced
AWS Edge Locations
Amsterdam, The Netherlands (2); Berlin, Germany; Dublin, Ireland; Frankfurt, Germany
(6); London, England (5); Madrid, Spain; Marseille, France; Milan, Italy; Munich,
Germany; Paris, France (3); Prague, Czech Republic; Stockholm, Sweden (3); Vienna,
Austria; Warsaw, Poland; Zurich, Switzerland
Public Sector Customers
W H AT C A N I D O
T O D A Y ?
Now is the time to engage…
You should probably start engaging with the idea
that the cloud can be considerably more secure
than the private cloud or your own data centre,
and start engaging with the risks that are building
in the spaces where you haven't moved to the
cloud yet.
David Rogers, Head of Technology, UK MoJ
I love RDS so much I wish I could hug it. It
means I don’t have to worry about databases…
Chris Wood, Cloud Platforms Technical Lead, UK MoJ
From “Cloud First” to “Cloud Native”
GDS B log : Feb 2017
Cloud First is the pol icy we've agreed
…but i t ’s not our aspirat ion.
M A K I N G T H E T R A N S I T I O N …
J O I I T O | D I R E C T O R | M I T M E D I A L A B
IF YOU WANT TO
I N C R E A S E
I N N O V A T I O N
Y O U H A V E T O
L O W E R T H E
COST OF FAILURE
AT A M A Z O N , W E
A LW AY S W O R K
B A C K W A R D S F R O M
T H E C U S T O M E R …
Two-pizzas teams
Full ownership
Full accountabil i ty
Aligned incentives
“DevOps”
C l o u d A d o p t i o n P a t h
DEVELOPMENT
& TEST
DIGITAL
ANALYTICS
MOBILE
DC MIGRATION
MISSION
CRITICAL APPS
ALL IN
1 2 3 4
W H AT C A N I D O
T O M O R R O W ?
GB TB
PB
ZB
EB
95% of the 1.2 zettabytes
of data in the digital
universe is unstructured
70% of of this is user-
generated content
Unstructured data growth
explosive, with estimates
of compound annual
growth (CAGR) at 62%
from 2008 – 2012.
Source: IDC
Big Data: Unconstrained data growth
Machine Learning &
Artificial Intell igence
B i g D a t a
MORE USERS BETTER PRODUCTS
MORE DATA BETTER ANALYTICS
A F l y w h e e l F o r D a t a
Free access to b ig data sets
a w s . a m a z o n . c o m / p u b l i c d a t a s e t s
Public Data Sets
ALGORITHMS
DATAPROGRAMMING
MODELS
GPUS & ACCELERATION
The Advent of Deep Learning
IMAGE
UNDERSTANDING
NATURAL LANGUAGE
PROCESSING
SPEECH
RECOGNITION
AUTONOMY
Th ou san d s Of Emp loyees Across Th e Comp any Focu sed on A I
DISCOVERY
& SEARCHFULFILLMENT
& LOGISTICS
DEFINE NEW
CATEGORIES
A r t i f i c i a l I n t e l l i g e n c e A t A m a z o n
ENHANCE
EXISTING PRODUCTS
BRING MACHINE
LEARNING TO ALL
Art i f ic ial Intel l igence
At Amazon (1995)
Amazon AIIntelligent Services Powered By Deep Learning
Rich Metadata Index
objects, scenes, facial attributes,
persons
Amazon Rekognition
Deep Learn ing -Based Image Recogn i t ion Serv ice
Deer 98.8%
Wildlife 95.1%
Conifer 95.1%
Spruce 95.1%
Wood 78.3%
Tree 63.5%
Forest 63.5%
Vegetation 61.9%
Pine 60.6%
Outdoors 54.0%
Flower 53.9%
Plant 52.9%
Nature 50.7%
Field 50.7%
Grass 50.7%
F a c i a l A n a l y s i s
Locate faces within images and analyze
face attributes to detect emotion, pose,
facial landmarks, and features
Avoid faces when cropping
images and overlaying ads
Capture user demographics and
sentiment
Recommend the best photos
Improve online dating match
recommendations
Dynamic, personalized ads
• Detect images wi th expl ic i t or suggest ive adul t content
• Opt imize manual rev iew processes
I m a g e M o d e r a t i o n
To fo l low leads f rom c i t i zens & secur i t y cameras , a person spends days manua l l y search ing thousands o f images .
The mobile and web app powered by Amazon Rekognition compares new images with photos of previous offenders:
• Helps identify unknown theft suspects from security footage
• Provides leads by identifying possible witnesses & accomplices
• Identifies persons of interest who do not have identification
Law Enforcement and Public SafetyWashington County Sheriff (OR)
A m a z o n L e x
NATURAL LANGUAGE
UNDERSTANDING
P o w e r e d b y t h e s a m e D e e p L e a r n i n g t e c h n o l o g y a s A l e x a
SPEECH RECOGNITION
Amazon Lex – Use Cases
IN F OR MAT ION AL B OT SChatbots for everyday consumer requests
A P P L IC AT ION B OT SBuild powerful interfaces to mobile applications
• News updates• Weather information• Game scores ….
• Book tickets• Order food• Manage bank accounts ….
E N T E R P R I S E P R O D U C T I V I T Y B OT SStreamline enterprise work activities and improve efficiencies
• Check sales numbers• Marketing performance• Inventory status ….
I N T E R N E T O F T H I N G S ( I OT ) B OT SEnable conversational interfaces for device interactions
• Wearables• Appliances• Auto ….
“ B o o k a H o t e l ”
Book Hotel
NYC
“Book a Hotel in NYC”
Automatic Speech Recognition
Hotel Booking
New York City
Natural Language Understanding
Intent/Slot Model
UtterancesHotel Booking
City New York City
Check In Nov 30th
Check Out Dec 2nd
“Your hotel is booked for Nov 30th”
PollyConfirmation: “Your hotel is
booked for Nov 30th”
a
in
“Can I go ahead with the booking?
CONVERTS TEXT
TO SPEECH
47 VOICES 24 LANGUAGES LOW LATENCY,
REAL TIMEFULLY MANAGED
Polly: Life-like Speech Service
Voice Quality & Pronunciation
1. Automatic, Accurate Text Processing
2. Intelligible and Easy to Understand
3. Add Semantic Meaning to Text
4. Customized Pronunciation
Articles and Blogs
Training Material
Chatbots (Lex)
Public Announcements
H O W C A N W E H E L P Y O U G E T
O N T H E F I R S T R U N G O F T H E
L A D D E R O R I N D E E D T H E L A S T ?
H A Y M A N @ A M A Z O N . U K . C O
THANK YOU
© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.