Drive Digital Transformation Using Machine Learning

P U B L I C S E C T O R
S U M M I T
B o go ta Summit

© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.P U B L I C S E C TO R
S U M M I T
Drive digital transformation using
Machine Learning
Alex Coqueiro
Public Sector Solutions Architecture Team
AWS
@alexbcbr #AWSPSSummit #AWSLatam #AWS_GOV

S U M M I T
The largest and most
transformative
business
opportunities go to
those who dare to
innovate and adopt
early.

S U M M I T
Digital Transformation as a centerpiece of
transformative business
Customer
experience
Business
operations
Decision
making
Innovation Competitive
advantage
of digital transformation initiatives supported by
AI/ML in 2019(source: IDC)
40%

S U M M I T
Digital Transformation using Machine Learning
Customer
experience
Business
operations
Decision
making
advantage
EXAMPLES

S U M M I T
Digital Transformation using Machine Learning
Customer
experience
Business
operations
Decision
making
advantage

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
S U M M I T
At Amazon, we’ve been making investments in
ML for the last 20 years…
Search &
Discovery
Fulfillment &
Logistics
Existing
Products
New
Initiatives

S U M M I T

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Some of our machine learning customers…

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We cannot continue to be a Blockbuster
Government serving a Netflix citizenry
Scott Brison
Former President of the Treasury Board and Minister of Digital
Government of Canada

S U M M I T
Babylon for Alexa

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How you can do it …

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Our mission at AWS
Put machine learning in the hands
of every developerPut machine learning in
the hands of every
developer and data
scientist

S U M M I T
M L F R A M E W O R K S &
I N F R A S T R U C T U R E
Amazon ML stack
A I S E R V I C E S
L E X
Chatbots
P O L L Y T R A N S C R I B E
Speech
M L S E R V I C E S
R E K O G N I T I O N
I M A G E
V I D E O
Vision
T E X T R A C T
Frameworks Interfaces Infrastructure
E C 2 P 3
& P 3 d n
E C 2 C 5 F P G A s G 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
A M A Z O N S A G E M A K E R
B U I L D T R A I N D E P L O Y
Pre-built algorithms & notebooks
Data labeling (GROUND TRUTH)
One-click model training & tuning
Optimization (NEO)
One-click deployment & hosting
Reinforcement learningAlgorithms & models (MARKETPLACE FOR ML)
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
Language
F O R E C A S T
Forecasting
P E R S O N A L I Z E
Recommendations
RL Coach

S U M M I T
Let’s play with these services…
Image from the movie Office Space

S U M M I T
Examine and discover insights and relationship
in documents
KIDNAP
CHILDREN
COLOMBIA
DARK WEB
BOGOTA
CRIME
MONEY
LAUNDRY
SUSPECTS
LIBRARY OF
DOCUMENTS
Amazon
Comprehend

S U M M I T
Natural Language Processing (NLP)
Amazon.com, Inc. is
located in Seattle, WA
and was founded July
5th, 1994 by Jeff
Bezos. Our customers
love buying
everything from books
to blenders at great
prices.
N a m e d E n t i t i e s
• A m a z o n . c o m : O r g a n i z a t i o n
• S e a t t l e , W A : L o c a t i o n
• J u l y 5 t h , 1 9 9 4 : D a t e
• J e f f B e z o s : P e r s o n
K e y p h r a s e s
• Our customers
• books
• blenders
• great prices
S e n t i m e n t : P o s i t i v e
L a n g u a g e : E n g l i s h
Amazon.com, Inc. is
located in Seattle, WA
and was founded July
5th, 1994 by Jeff
Bezos. Our customers
love buying everything
from books to blenders
at great prices.

S U M M I T
Amazon Comprehend
D i s c o v e r i n s i g h t s a n d r e l a t i o n s h i p s i n t e x t
Entities
Key Phrases
Language
Sentiment
Syntax
Grouping

S U M M I T
“If we want machines to think, we need to
teach them to see”. Fei-Fei Li
Source: https://commons.wikimedia.org/wiki/File:US_Army_CID_crime_scene_investigator.jpg

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Computer Vision Analysis
One face detected
Age Variation: 0-2 years old
10 faces detected Person 99.2%
Snowboarding 98.1%

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Deep learning-based image recognition service
Search, verify, and organize millions of images and videos
Object and
scene
detection
Facial
analysis
Text in
image
Face search
and match
Celebrity
recognition
Unsafe
image
detection
Amazon Rekognition

S U M M I T
Face Comparison
Measure the likelihood that faces in two images are of the same person
• Add face verification to applications
and devices
• Extend physical security controls
• Provide guest access to VIP-only
facilities
• Verify users for online exams and
polls

S U M M I T
DetectLabels
{
"Image": {
"Bytes": blob,
"S3Object": {
"Bucket": "string",
"Name": "string",
"Version": "string"
}
},
"MaxLabels": number,
"MinConfidence": number
}
Image API – Request and Response
{
"Labels": [
{
"Confidence": number,
"Name": "string”
}
],
"OrientationCorrection": "string"
}

S U M M I T
APIforAmazon Rekognition
rekognition = boto3.client('rekognition’)
# Invoke rekognition API
response = rekognition.detect_labels(Image={"S3Object": {"Bucket": bucket, "Name": key}})
# Get the labels from the image
labels = [{'Confidence': Decimal(str(label_prediction['Confidence'])), 'Name’:
label_prediction['Name']} for label_prediction in response['Labels']]
# Write the result in one table (DynamoDB)
table = boto3.resource('dynamodb').Table('ReconhecimentoImagemDB')
table.put_item(Item={'PK': key, 'Labels': labels})

S U M M I T
ML FRAMEWORKS &
INFRAST RUCT URE
Amazon ML stack
AI SERVICES
ML SERVICES
I M A G E
V I D E O
Vision
C O M P R E H E N D
Language

https://commons.wikimedia.org/wiki/File:RCMP_searching.jpg
…working with MY business domain
(learning from MY data)

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ML FRAMEWORKS &
INFRAST RUCT URE
Amazon ML stack
AI SERVICES
ML SERVICES
Pre-built algorithms & notebooks One-click model training & tuning One-click deployment & hosting

S U M M I T
Build DeployTrain
Amazon SageMaker
Fully-managed service that covers data preparation, model
development, training, and optimize it for deployment, make
predictions, and take action.

S U M M I T
Build DeployTrain
Amazon SageMaker

S U M M I T
… or Apache Spark
through EMR and
the SageMaker
Spark SDK...
User Interface
Use SageMaker‘s
hosted Notebook
Instances...
... or SageMaker‘s
Console for a point
and click
experience...
... or your own
device (EC2, laptop,
etc.)

S U M M I T
Zero setup
Training
Streaming datasets
+ distributed
compute
Docker / ECS

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XGBoost, FM,
Linear, and
Forecasting for
supervised
learning
Kmeans, PCA,
and BlazingText
(Word2Vec) for
clustering and
pre-processing
Image
classification with
convolutional
neural networks
LDA and NTM
for topic
modeling,
seq2seq for
translation
Built-in algorithms
Random Cut
Forest for
anomaly
detection

S U M M I T
Bring your own algorithm
... add algorithm
code to a Docker
container...
Pick your preferred
framework...
... publish to ECS

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One step
deployment
Low latency, high
throughput, and
high reliability
A/B testing Use your own
model
Inference

S U M M I T…pushing ML to the edge…
Medical equipment Industrial machinery Extreme environments

S U M M I T
Inferences and
local actions on
device
Extracted
intelligence
Trained model
Generic
Deploying and prediction in the edge

S U M M I T
Logical representation deploying a model
locally

Source: https://commons.wikimedia.org/wiki/File:Danish_police_arrest.jpg
…symbiotic integration for a
better society…

S U M M I T
• Build machine learning models in Amazon
SageMaker
• Train, test, and iterate on the track using the AWS
DeepRacer 3D racing simulator
• Compete in the world’s first global autonomous
racing league, to race for prizes and a chance to
advance to win the coveted AWS DeepRacer Cup
AWS DeepRacer
A fully autonomous 1/18th-scale race car designed to help you learn about reinforcement
learning through autonomous driving

S U M M I T
AWS RoboMaker
A service that makes it easy for
developers to develop, test, and
deploy robotics applications, as
well as build intelligent robotics
functions using cloud services

S U M M I T
ML FRAMEWORKS &
INFRAST RUCT URE
Amazon ML stack
AI SERVICES
L E X
Chatbots
P O L L Y T R A N S C R I B E
Speech
ML SERVICES
I M A G E
V I D E O
Vision
T E X T R A C T
Frameworks Interfaces Infrastructure
E C 2 P 3
& P 3 d n
E C 2 C 5 F P G A s G 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
Pre-built algorithms & notebooks
Data labeling (G R O U N D T R U T H )
One-click model training & tuning
Optimization (NEO)
One-click deployment & hosting
Reinforcement learningAlgorithms & models ( M A R K E T P L A C E F O R M L )
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
Language
F O R E C A S T
Forecasting
P E R S O N A L I Z E
Recommendations
RL Coach

S U M M I T
Machine Learning Training & Certification
Role-based learning paths focus on how to apply ML to unlock new insights and value in role
Business Decision
Makers
Developers Data Scientists Data Platform Engineers
aws.training/machinelearning
• 30+ digital courses with 45+ hours of content for learners at all levels
• Schedule with convenience at testing centers worldwide
• Get AWS Machine Learning certified
• Join AWS Certified global community, earn digital badges, special event access, and other benefits

S U M M I T
Natural Language
Processing
Grammar & Parsing Text OCR Computer Vision Named Entity Video Classification
Speech Recognition Text-to-Speech Speaker Identification Text Classification 3D Images Anomaly Detection
Text Generation Object Detection Regression Text Clustering Handwriting Ranking
A V A I L A B L E A L G O R I T H M S & M O D E L S
S E L E C T E D V E N D O R S
AWS Marketplacefor MachineLearning
Over150MLalgorithmsandmodelsavailableinstantly

S U M M I T
We are not spectators, but actors
of the future
Herb Simon, 2000

S U M M I T
ml.aws
@alexbcbr
#AWSPSSummit#AWSLatam #AWS_GOV

Thank you!
S U M M I T

Drive Digital Transformation Using Machine Learning

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