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© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Julien Simon
Principal Technical Evangelist, AI and Machine Learning
@julsimon
Machine Learning sur AWS
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
A Long History of ML at Amazon
Personalized
recommendations
Inventing entirely
new customer
experiences
Fulfillment
automation and
inventory
management
Drones Voice driven
interactions
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Put Machine Learning in the hands
of every developer and data scientist
Our mission
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
More ML is built on AWS than anywhere else
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
More ML is built on AWS than anywhere else
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Olivier Marc, co-fondateur et CEO, Advalo
Le marketing du futur ?
Le marketing individualisé
Le marketing de masse est polluant, intrusif, peu efficace
En moyenne,
99% des personnes
ciblées ne
réagissent pas
Organisées en silo, les entreprises sont incapables
d’accompagner le consommateur au long de son parcours
En moyenne,
1% des leads
sont convertis
Le marketing de demain ? Un marketing individualisé
qui intervient uniquement au bon moment
En moyenne,
70% des
consommateurs ont pris leur décision d’achat AVANT d’aller en magasin
La combinaison data / IA est la seule solution pour
répondre à ces nouveaux enjeux
• Création 2014, Paris/Rennes, 40+ personnes
• Editeur de la première plateforme de marketing individualisé
• Hyper croissance
• Série A de 5 millions d’euros fin 2017
Notre plate-forme technique
• Sur AWS depuis le premier jour
• 5 milliards de données traitées par jour
Amazon EMR, Apache Spark
• 14 Teraoctets
Amazon S3, Amazon ElastiCache, Amazon RDS
• 250 sources de données
• 150 modèles prédictifs en production
Amazon
EC2
Amazon
S3
Amazon
RDS
Amazon
ElastiCacheAmazon
EMR
Use case #1 : SEAT
Enjeu : améliorer la conversion de leads
Challenge : exploiter l’ensemble des données pour scorer les intentionnistesactifs
Problème : le site génère beaucoup de bruit avec des amateurs de voiture qui n’ont pas particulièrement d’intentions d’achats
Solution : un modèle prédictif en temps réel identifie les intentionnistes
Une efficacité prometteuse
Use case #2 : Bessec
Enjeu : générer du trafic en magasin
Challenge : individualiser et personnaliser la prise de parole dans le digital comme le ferait un personal shopper
Problème : les algorithmes de recommandation classiques ne fonctionnent pas lors des changements de collections
Solution: le Deep Learning au service de la détection de styles
Des résultats encourageants
5% des communications
sont individualisées
60% des KPIs d’engagement
Prochaines étapes
Doublement de l’équipe
Ouverture d’un bureau aux USA début 2019
http://advalo.com
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Merci !
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Application
Services
Platform
Services
Frameworks
&
Infrastructure
API-driven services: Vision, Language & Speech Services, 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 prediction
on trained models.
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Application Services
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon RekognitionDeep Learning-based image analysis service
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Object & Scene Detection
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Facial Analysis
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Crowd Detection – up to 100 faces
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Facial Search
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
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
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Celebrity Recognition
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Text in Image
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon Rekognition VideoDeep Learning-based video analysis service
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Video Analysis
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Sky News will use Amazon
Rekognition to perform
real-time identification of
guests as they enter St.
George’s Chapel
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon Pol lyDeep Learning-based text-to-speech service
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon Polly
“Salut, je
m’appelle Léa. Je
suis la nouvelle
voix française de
Polly.”
Amazon Polly: Text In, Life-like Speech Out
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
<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
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Breathing
https://aws.amazon.com/blogs/machine-
learning/amazon-polly-releases-new-ssml-
breath-feature/
<amazon:auto-breaths>
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon TranslateNeural Machine Translation Service
Now generally available
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon TranslateNatura l and f luent language t rans lat ion
Real-time
translation
Batch analysis Automatic language
recognition
Low cost
Languages
Available now
English to/from:
• Spanish
• Portuguese
• German
• French
• Arabic
• Simplified Chinese
Coming soon
• Japanese
• Russian
• Italian
• Traditional Chinese
• Turkish
• Czech
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon TranscribeAutomatic speech recognition service
Now generally available
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon TranscribeAutomat ic convers ion of speech into accurate , g rammat ica l l y
cor rect text
Support for
telephony
audio
Timestamp
generation
Intelligent
punctuation and
formatting
Recognize
multiple
speakers
Custom
vocabulary
Multiple
languages
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon ComprehendNatural Language Processing
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Fully managed natural language processing
Discover valuable insights from text
Entities
Key Phrases
Language
SentimentAmazon
Comprehend
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Topic modeling
STORM
WORLD SERIES
AUSTRALIASTOCK
MARKET
WASHINGTON
HEALTH
CRISISMACHINE
LEARNING
LIBRARY OF
NEWS ARTICLES *
Amazon
Comprehend
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Platform Services
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
ML is still too complicated for everyday developers
Collect and prepare
training data
Choose and
optimize your ML
algorithm
Set up and manage
environments for
training
Train and tune
model
(trial and error)
Deploy model
in production
Scale and manage
the production
environment
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon SageMaker
Fully managed
hosting with auto-
scaling
One-click
deploymentPre-built
notebooks for
common
problems
Built-in, high-
performance
algorithms
One-click
training
Hyperparameter
optimization
Build Train Deploy
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Frameworks & Infrastructure
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon EC2 C5 instances
AVX 512
72 vCPUs
“Skylake”
144 GiB memory
C5
12 Gbps to EBS
2X vCPUs
2X performance
3X throughput
2.4X memory
C4
36 vCPUs
“Haswell”
4 Gbps to EBS
60 GiB memory
C 5 : N e x t G e n e r a t i o n
C o m p u t e - O p t i m i ze d
I n s t a n c e s w i t h
I n t e l ® X e o n ® S c a l a b le
P r o c e s s o r
AW S C o m p u t e o p t i m i ze d
i n s t a n c e s s u p p o r t t h e n e w I n t e l ®
AV X - 5 1 2 a d va n c e d i n s t r u c t i o n
s e t , e n a b l i n g yo u t o m o r e
e f f i c i e n t l y r u n ve c t o r p r o c e s s i n g
wo r k l o a d s w i t h s i n g l e a n d
d o u b l e f l o a t i n g p o i n t p r e c i s i o n ,
s u c h a s A I / m a c h i n e l e a r n i n g o r
v i d e o p r o c e s s i n g .
25% improvement in
price/performance over C4
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon EC2 P3 Instances
• P3.2xlarge, P3.8xlarge, P3.16xlarge
• Up to eight NVIDIA Tesla V100 GPUs in a single instance
• 40,960 CUDA cores, 5120 Tensor cores
• 128GB of GPU memory
• 1 PetaFLOPs of computational performance – 14x better than P2
• 300 GB/s GPU-to-GPU communication (NVLink) – 9x better than P2
T h e f a s t e s t , m o s t p o w e r f u l G P U i n s t a n c e s i n t h e c l o u d
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
AWS Deep Learning AMIsPreconfigured environments to quickly build Deep Learning applications
Conda AMI
For developers who want pre-
installed pip packages of DL
frameworks in separate virtual
environments.
Base AMI
For developers who want a
clean slate to set up private DL
engine repositories or custom
builds of DL engines.
AMI with source code
For developers who want
preinstalled DL frameworks and
their source code in a shared
Python environment.
https://aws.amazon.com/machine-learning/amis/
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Faster TensorFlow training on C5
https://aws.amazon.com/blogs/machine-learning/faster-training-with-optimized-tensorflow-
1-6-on-amazon-ec2-c5-and-p3-instances/
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Can we do more to put ML in the
hands of all developers (literally)?
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
AWS DeepLens
HD video camera
Custom-designed
Deep Learning
engine
Micro-SD
Mini-HDMI
USB
USB
Reset
Audio out
Power
HD video camera
with on-board
compute optimized
for Deep Learning
Tutorials, examples,
demos, and pre-
built models
From unboxing
to prediction in
<10 minutes
Integrates with
Amazon SageMaker
and AWS Lambda
10MIN
The world’s first Deep Learning-enabled video camera for developers
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Object detection with AWS DeepLens
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
FRAMEWORKS AND INTERFACES
PLATFORM SERVICES
APPLICATION SERVICES
Amazon
Rekognit ionAmazon Polly Amazon Lex
Democratization of ML
Amazon
Rekognit ion VideoAmazon Transcribe
Amazon Comprehend
Amazon SageMaker AWS DeepLens
Deep Learning AMI
Amazon Translate
Thank you!
Julien Simon
Principal Technical Evangelist, AI and Machine Learning
@julsimon
https://aws.amazon.com/machine-learning
https://aws.amazon.com/blogs/ai
https://medium.com/@julsimon
https://youtube.com/juliensimonfr
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