This session will focus on the basic building blocks of Artificial Intelligence (AI) and Machine Learning (ML) using AWS services. It will help you to identify use cases for ML with real-world examples, and help you create the right conditions for delivering successful ML-based solutions to your business.

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Turbocharge your business
with AI and Machine Learning
Gili Nachum
Solutions Architect
Amazon Web Services
gili@amazon.com
S K L 2 0 8
Boaz Ziniman
Technical Evangelist
Amazon Web Services
@ziniman

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What you’ll get out of this session
• What is AI/ML
• How does AI/ML transforms businesses?
• Review AI driven business use cases
• How to get started: strategy, tools, talent

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Artificial Intelligence: design software applications which exhibit
human-like behavior, e.g. speech, natural language processing,
reasoning or intuition
Machine Learning: teach machines to learn without being
explicitly programmed
Deep Learning: using neural networks, teach machines to learn
from complex data where features cannot be explicitly expressed

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of digital transformation initiatives
supported by AI in 201940% - IDC 2018

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Rule-based - Traditional program
Has explicit rules to follow:
if email contains ’lotto
winner’ then mark as spam
if email contains …
if email contains …
Learns from examples:
Try to classify some emails
Change self to reduce errors
Repeat;
Machine Learning program

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AI @ Amazon

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The Amazon Flywheel

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The Amazon Flywheel
Product
Recommendations

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There’s a service for that …

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The Amazon Flywheel
Automatic
Translation

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There’s a service for that: Amazon Translate

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The Amazon Flywheel
Supply Chain
Optimization

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There’s a service for that: Amazon Forecast

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The Amazon Flywheel
30 Minutes
Delivery

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More use cases for ML
Fraud detection Detecting fraudulent transactions, filtering spam
emails, flagging suspicious reviews, …
Personalization Recommending content, predictive content loading,
improving user experience, …
Targeted marketing Matching customers and offers, choosing marketing
campaigns, cross-selling and up-selling, …
Content classification Categorizing documents, matching hiring managers
and resumes, understanding visual content, …
Churn prediction Finding customers who are likely to stop using the
service, upgrade targeting, …
Customer support Predictive routing of customer emails, social media
listening, …
Predictive maintenance Detect early signs of equipment failure

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Put AI to work for your business
Automate media workflows to reduce costs & monetize content
content moderation | contextual ad insertion | searchable media library
custom facial recognition | multi-language metadata search
C O M P R E H E N DR E K O G N I T I O N
I M A G E
R E K O G N I T I O N
V I D E O
T R A N S C R I B E T R A N S L A T E T E X T R A C T

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Scaling video indexing
C-SPAN uses Amazon Rekognition to
automatically index video news footage
for search. With Rekognition, C-SPAN
reduced indexing time per video from 1
hour to 20 minutes and uploaded 97,000
images in under 2 hours.

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Put AI to work for your business
Use AI services to strengthen safety & security
accurate facial analysis | identity protection | metadata extraction
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
R E K O G N I T I O N
I M A G E
R E K O G N I T I O N
V I D E O

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Fight human trafficking
Marinus Analytics provides law enforcement with
tools founded in artificial intelligence.
Traffic Jam, is a suite of tools for use by law
enforcement agencies on sex trafficking
investigations.
Before using Amazon Rekognition, their only
recourse was manual processing; this was time-
intensive or not possible.
Now, investigators are able to take effective
action by searching through millions of records in
seconds to find victims.

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Put AI to work for your business
Understand the voice of your customer
sentiment analysis | app localization | translation services | transcription services | cataloging media | accessibility
T R A N S C R I B E T R A N S L A T E C O M P R E H E N DR E K O G N I T I O N
I M A G E
R E K O G N I T I O N
V I D E O

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Targeted
customer acquisition
VidMob uses Amazon Rekognition and
Amazon Transcribe for metadata extraction
and sentiment analysis, to help marketers
understand which videos resonate with
audiences. This allows marketers to promote
targeted content to acquire new customers.

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Build, train, and deploy custom models using Amazon SageMaker
Delight customers with clever expense deduction | real-time insights for F1 drivers
NEW
Put AI to work for your business
A M A Z O N
S A G E M A K E R

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Fueling product
innovation
Using Amazon SageMaker, Intuit developed ML
models that can pull a year’s worth of bank
transactions to find deductible business expenses
for customers. Using SageMaker, Intuit reduced
machine learning deployment time by 90%, from
6 months to 1 week.

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Automation Enrichment Invention

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Assess your structured
and unstructured
data sources
Create
the loop
1.
Connect technology
initiatives with
business outcomes
Advance your
data strategy
Put machine learning
in the hands of
your developers
Organize
for success
2. 3.
?

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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
A I S E R V I C E S
R E K O G N I T I O N
I M A G E
P O L L Y T R A N S C R I B E 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
L E XR E K O G N I T I O N
V I D E O
Vision Speech Chatbots
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
F O R E C A S TT E X T R A C T P E R S O N A L I Z E
D E P L O Y
Pre-built algorithms & notebooks
Data labeling (G R O U N D T R U T H )
One-click model training & tuning
Optimization (N E O )
One-click deployment & hosting
M L S E R V I C E S
F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e
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
Reinforcement learningAlgorithms & models ( A W S M A R K E T P L A C E
F O R M A C H I N E L E A R N I N G )
Language Forecasting Recommendations
The Amazon ML stack: Broadest & deepest set of capabilities

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Related sessions today
14:10 Breaking language barriers with AI - AIM301 (AI & ML Track)
15:50 Unleash the Power of ML with AWS - DEV304 (Innovate Track)
AI & ML Track – Advanced Talks

33. Thank you!
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Gili Nachum
Solutions Architect
AWS
Boaz Ziniman
Technical Evangelist
AWS
http://bit.ly/2SBkuOU