The document discusses Amazon Web Services and various AI/ML services they offer including Amazon Comprehend, Amazon Rekognition, Amazon Personalize, Amazon Forecast, and Amazon SageMaker. It provides overviews and examples of how each service can be used to extract insights from text/images, perform personalized recommendations, generate forecasts from time-series data, and build/deploy machine learning models.

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H O N G K O N G

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H O N G K O N G
Eric Lam
Solutions Architect
Amazon Web Services

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“How to Create Your AI Strategy,” Ritu Jyoti, IDC blog, May 6, 2019.

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Entities
Key phrases
Language
Sentiment
Syntax
Grouping
C O M P R E H E N D
Discover insights and relationships in text
Amazon Comprehend

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A m a z o n . c o m , I n c . i s l o c a t e d i n
S e a t t l e , W A a n d w a s f o u n d e d
J u l y 5 t h , 1 9 9 4 b y J e f f B e z o s .
O u r c u s t o m e r s l o v e b u y i n g
e v e r y t h i n g f r o m b o o k s t o
b l e n d e r s a t g r e a t p r i c e s
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 , 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
O u r c u s t o m e r s
B o o k s
B l e n d e r s
G r e a t p r i c e s
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
Text analysis
Amazon Comprehend

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Faces Celebrities Labels
Moderation ScenesActivities Paths
Text
Amazon Rekognition
Features

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Rekognition Demo: Selfie Analyzer

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Amazon
Kinesis Firehose
<bucket>/enriched
<bucket>/raw
Amazon Translate
Amazon Comprehend
Amazon
Athena
Amazon
QuickSight
AWS Glue Data
Catalog

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Articles, products,
videos, etc.
Age, location, etc. Amazon
Personalize
Customized
personalization &
recommendation
API
Views, signups,
conversion, etc.
Amazon Personalize
Real-time personalization and recommendation

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Customized
personalization &
recommendation
API
F u l l y m a n a g e d b y
A m a z o n P e r s o n a l i z e
Amazon Personalize
Inspect
data
Identify
features
Select
algorithms
Select
hyperparameters
Train
models
Optimize
models
Host
models
Build feature
store
Create
real-time
caches
Activity stream
from app
Inventory
Demographics
(optional)
Amazon Personalize
Real-time personalization and recommendation

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Historical data
Supply chain,
inventory, etc.
Customized
forecasting API
Related “causal” data
Weather, special offers,
product details
Amazon Forecast
Amazon Forecast
Accurate time-series forecasting

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Amazon Forecast
Accurate time-series forecasting
Historical data
Supply chain,
inventory, etc.
Customized
forecasting API
Inspect
data
Identify
features
Select
from eight
algorithms
Select
hyperparameters
Host
models
Load
data
Train
models
Optimize
models
Related “causal” data
Weather, special offers,
product details
F u l l y m a n a g e d b y A m a z o n
F o r e c a s t
Amazon Forecast

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Amazon Forecast
Accurate time-series forecasting
Any historical
time-series
Export to CSV to
integrate with SAP and
Oracle supply chain
Custom forecasts
with three clicks
Up to 50% more
accurate
1/10
the cost
Retail demand Travel demand AWS usage
Revenue forecasts Web traffic Advertising demand
Generate
forecasts for:

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Data Visualization &
Analysis
Business Problem –
ML problem framing Data Collection
Data Integration
Data Preparation &
Cleaning
Feature Engineering
Model Training &
Parameter Tuning
Model Evaluation
Are
Business
Goals
met?
Model Deployment
Monitoring &
Debugging
– Predictions
YesNo
DataAugmentation
Feature
Augmentation
Re-training
The Machine Learning process

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Amazon SageMaker

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Plan for success

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35. Thank you!
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