The document discusses Amazon's AI services for building machine learning models including application services, platform services, and frameworks/infrastructure. It describes several Amazon AI services such as Amazon Rekognition for computer vision, Amazon Polly for text-to-speech, Amazon Lex for conversational interfaces, and Amazon SageMaker for training and deploying models. The services provide APIs, tools, and capabilities to developers and data scientists to incorporate AI into their applications and analyze large datasets.

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Enhancing Your Startup with
Amazon AI
François-Xavier Gsell
Solutions Architect, Amazon Web Services

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Amazon AI

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ML @ AWS: Our Mission
Put machine learning in the hands of every
developer and data scientist.

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Customer Running ML on AWS Today

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Application
Services
Platform
Services
Frameworks
&
Infrastructure
API-driven services: Vision & Language Services, Conversational Chatbots
AWS ML Stack
Deploy machine learning models with high-performance machine learning
algorithms, broad framework support, and one-click training, tuning, and
inference.
Develop sophisticated models with any framework, create managed, auto-
scaling clusters of GPUs for large scale training, or run inference on trained
models.

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Application
Services
API-driven services: Vision & Language Services, Conversational Chatbots
AWS ML Stack

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Amazon Rekognition
Deep learning-based visual analysis service

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Amazon
Rekognition
Object and scene detection
Facial analysis
Face comparison
Celebrity recognition
Image moderation
Deep learning-based visual analysis service

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Object & Scene Detection

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Facial Analysis

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Crowd-Mode Face Detection

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Facial Search

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Explicit Nudity
Nudity
Graphic Male Nudity
Graphic Female Nudity
Sexual Activity
Partial Nudity
Suggestive
Female Swimwear or Underwear
Male Swimwear or Underwear
Revealing Clothes
Image Moderation

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Celebrity Recognition

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Text in Image

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Amazon Rekognition Video
Deep learning-based visual analysis service

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Video in. People, activities, and details out.
Objects, scenes, and activities
Person detection and recognition
Person tracking
Celebrity recognition
Inappropriate content detection
Amazon Rekognition Video

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Rekognition Video Analysis Service

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Rekognition Video API example
aws rekognition start-label-detection
--video '{"S3Object":{"Bucket":"adhorn-reko","Name":"bourne.mp4"}}’
{
"JobId": "a89eeae89ec38d8579a3a0bfc2bbf522ea5a939cdf751df4b3872d04e8394496”
}
aws rekognition get-label-detection
--jobId "a89eeae89ec38d8579a3a0bfc2bbf522ea5a939cdf751df4b3872d04e8394496”

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Amazon Polly
Deep learning-based Text-to-Speech service

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Amazon Polly
“Hejsan! Jag
heter Astrid och
läser upp det som
skrivs här.”
Amazon Polly: Text In, Life-like Speech Out

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<speak xml:lang="en-US">
The price of this book is <prosody rate="60%">€45</prosody>
</speak>
A Focus On Voice Quality & Pronunciation
Support for Speech Synthesis Markup Language (SSML) Version 1.0
https://www.w3.org/TR/speech-synthesis

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Amazon Translate
Neural Machine Translation Service

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“Hello, what’s up? Do you
want to go see a movie
tonight?”
Amazon Translate
Natural and fluent language translation
"Bonjour, quoi de neuf ? Tu
veux aller voir un film ce
soir ?"
Amazon
Translate

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Automatically translates text between languages
Real-time translation Powered by deep
learning
12 Language pairs
(more to come)
Language detection

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Amazon Transcribe
Automatic speech recognition service

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“Hello, this is Allan
speaking”
Automatic speech recognition service
Amazon
Transcribe

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Support for
telephony audio
Timestamp
generation
Intelligent
punctuation and
formatting
Recognize
multiple
speakers
Custom
vocabulary
Multiple
languages
Automatic speech recognition service

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Amazon Comprehend
Natural Language Processing

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Fully managed natural language processing
Discover valuable insights from text
Entities
Key Phrases
Language
Sentiment
Amazon
Comprehend

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Support for large data sets and topic modeling
STORM
WORLD SERIES
STOCK MARKET
WASHINGTON
LIBRARY OF
NEWS ARTICLES *
Amazon
Comprehend
* Integrated with Amazon S3 and AWS Glue

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Amazon Lex
Conversational Interfaces

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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Intents
A particular goal that the
user wants to achieve
Utterances
Spoken or typed phrases
that invoke your intent
Slots
Data the user must provide to fulfill the
intent
Prompts
Questions that ask the user to input
data
Fulfillment
The business logic required to fulfill the
user’s intent
BookHotel

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Lex Bots
Salesforce
Microsoft Dynamics
Marketo
Zendesk
Web
Devices
Apps
Facebook Messenger,
Slack,
Amazon
Connect
Mobile
Mobile Hub
integration
Quickbooks
Amazon Lex: Conversational Chatbots

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Platform
Services
AWS ML Stack
Deploy machine learning models with high-performance machine learning
algorithms, broad framework support, and one-click training, tuning, and
inference.

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Amazon SageMaker
A fully managed service to quickly and easily
build machine-learning based models

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End-to-End
Machine Learning
Platform
Zero setup Flexible Model
Training
Pay by the second
$
Amazon SageMaker
Build, train, and deploy machine learning models at scale

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Highly-optimized
machine learning
algorithms
BuildPre-built
notebook
instances
Amazon SageMaker

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Highly-optimized
machine learning
algorithms
One-click training
for ML, DL, and
custom algorithms
BuildPre-built
notebook
instances
Easier training with
hyperparameter
optimization
Train
Amazon SageMaker

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One-click training
for ML, DL, and
custom algorithms
Easier training with
hyperparameter
optimization
Highly-optimized
machine learning
algorithms
Deployment
without
engineering effort
Fully-managed
hosting at scale
BuildPre-built
notebook
instances
Deploy
Train
Amazon SageMaker

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Frameworks
&
Infrastructure
AWS ML Stack
Develop sophisticated models with any framework, create managed, auto-
scaling clusters of GPUs for large scale training, or run inference on trained
models.

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AWS Deep Learning AMI
• Easy-to-launch tutorials
• Hassle-free setup and configuration
• Pay only for what you use
• Accelerate your model training and deployment
• Support for popular deep learning frameworks

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Amazon ML Lab
Provides the missing ML expertise

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Amazon ML Lab
Lots of companies
doing Machine
Learning
Unable to unlock
business potential
Brainstorming Modeling Teaching
Lack ML
expertise
Leverage Amazon experts with decades of ML
experience with technologies like Amazon Echo,
Amazon Alexa, Prime Air and Amazon Go
Amazon ML Lab
provides the missing
ML expertise

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Special Crafted by
Data Driven Organization
So f i a n H a d i wi j a y a
Proprietary document of IYKRA, 2018

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Sofian
Hadiwijaya
Sofian has had experience in different industries such as cement,
mining, education, e-commerce, fintech, logistic, transportation,
etc. He also actively participates in various Technology
communities. A renowned Intel Software Innovator in Internet of
Things and Artificial Intelligence, he has won the contest, both
nationally and internationally and was recently crowned the
Developer Hero. In collaboration with dicoding and developer
mengajar, they inspire thousands of developers across Indonesia
through workshops.
Email : me@sofianhw.com
Website : www.sofianhw.com
Linkedin : https://www.linkedin.com/in/sofianhw
Speaker Bio
Co Founder at Warung Pintar
VP Business Intelligence at GO-JEK
Head of Data at KUDO
Market Analyst at Holcim

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“Without data you’re just another person with an opinion.”
William Edwards Deming

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Modern Trade

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General Trade

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Modern Trade vs General Trade

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Solution

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Solution

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Behind it
(ERP)

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Thank You!

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Demo
An overview of the application services

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Summary

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FRAMEWORKS AND INTERFACES
PLATFORM SERVICES
APPLICATION SERVICES
Amazon
Rekognition
Amazon Polly Amazon Lex
Democratization of AI
Amazon
Rekognition Video
Amazon Transcribe
Amazon Comprehend
Amazon SageMaker AWS DeepLens Amazon EMR
Deep Learning AMI
Amazon Translate

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G O B U I L D