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Marc Cabocel

Start-Up Solutions Architect

Nicolas Cunin

CTO Fin Avenue

Enrichir son datalake avec les services cognitifs AWS

Data Drives Better Decision Making

24%

15%

Organic revenue growth

Data lake leaders who were highly efficient in capturing a diversity of data and making it accessible to their organization in a timely fashion outperformed their peers by 9% in organic revenue growth.*

*Aberdeen: Angling for Insight in Today’s Data Lake, Michael Lock, SVP Analytics and Business Intelligence

Traditionally, Analytics Looked Like This

OLTP ERP CRM LOB

Data warehouse

Business intelligence Relational data

TBs-PBs scale

Schema defined before data load

Operational reporting and on demand

Large initial capex + $10K–$50K / TB / Year

Data Lakes Extend the Traditional Approach

Relational and non-relational data

TBs-EBs scale

Schema defined during analysis

Diverse analytical engines to gain insights

Designed for low-cost storage and analytics

OLTP ERP CRM LOB

Data warehouse

Business intelligence

Data lake

100110000100101011100101010111001010100001

0111110110100011110010110010110

0100011000010

Devices Web Sensors Social

Catalog

Machine learning

DW queries

Big data processing

Interactive Real-time

Data Lakes on AWS

Unmatched durability and availability at exabyte scale

Comprehensive security, compliance, and audit capabilities

Object-level controls

Usage and cost analysis insight into your data

Most ways to bring data in

Twice as many partner integrations

Data lakeA m a z o n S 3

A m a z o n G l a c i e rA W S G l u e

M a c h i n e L e a r n i n gA n a l y t i c s

Snowball

Snowmobile

KinesisData Streams

KinesisData FirehoseKinesis

Video Streams

I n t e r n e t o f T h i n g s

Platform Services

Application Services

Frameworks & Interfaces

Caffe2 CNTK Apache MXNet PyTorch TensorFlow Torch Keras Gluon

AWS Deep Learning AMIs

Amazon SageMaker AWS DeepLens

Rekognition Transcribe Translate Polly Comprehend Lex

The Amazon ML Stack

Platform Services

Application Services

Frameworks & Interfaces

Caffe2 CNTK Apache MXNet PyTorch TensorFlow Torch Keras Gluon

AWS Deep Learning AMIs

Amazon SageMaker AWS DeepLens

Rekognition Transcribe Translate Polly Comprehend Lex

The Amazon ML Stack

Computer Vision Services

Amazon Rekognition ImageDetect objects, scenes, and faces, extract text, recognize celebrities, and identify unsafe content in images

Object and SceneDetection

Facial Analysis

FaceRecognition

Unsafe Image Detection

Celebrity Recognition

Text in Image Face Comparison

Sky News uses AmazonRekognition to performreal-time identificationof guests as they enterSt. George’s Chapel.

Amazon Rekognition VideoAnalyze activity, recognize, and track people in stored and live video

Facial Analysis

Language Services

Powerful language capabilities

Amazon Transcribe Automatic conversion of speech into accurate, grammatically correct text

Amazon Translate Natural and fluent language translation

Amazon Polly Turn text into lifelike speech using deep learning

Amazon Comprehend Discover insights and relationships in text

Amazon Lex Conversational interfaces for text-based and voice-based applications

Common Language Use Cases

Knowledge Management Voice of Customer Applications

Customer Service/Call Centers

Enterprise Digital Assistant

Semantic Search

Captioning Workflows

LocalizationPersonalization

Information Bots

Education

Accessibility

Duolingo

High-quality language education using Amazon Polly Text-to-Speech (TTS)

With more than 170M users, Duolingo is the most popular language-learning platform

Each lesson targets different linguistic skills and concepts

Amazon Polly was the winner against their previous TTS providers in all six voice A/B tests they use to evaluate impact to their business

Amazon PollyTurn text in to l i fe l i ke speech us ing deep learn ing

Wide selection of voices and languages

Synchronize speech

Fine-grained control

Unlimited replay

RingDNA

RingDNA is an end-to-endcommunications platform for salesteams.

A critical component of RingDNA’sConversation AI requires best ofbreed speech-to-text to delivertranscriptions of every phone call.

“RingDNA is excited about AmazonTranscribe since it provides high-quality speech recognition at scale,helping us to better transcribe everycall to text.”

Howard Brown – CEO & Founder, RingDNA

Amazon TranscribeAutomat i c convers ion of speech in to accurate , g rammat ica l ly cor rect text

Support for telephony

audio

Timestamp generation

Intelligent punctuation and

formatting

Recognize multiplespeakers

Customvocabulary

Multiple languages

Hotels.com

Hotels.com is a leading onlineaccommodation booking websitewith all the information needed tobook the perfect stay.

They operate 90 localized websites in41 languages with more than 25MCustomer reviews.

“We want to take advantage of thelatest advances in machine learningto further personalize and localize ourreviews, and generally improve ourcustomer experience. AmazonTranslate is a step forward in thatdirection.”

Matthew Fryer - VP and Chief Data Science Officer, Hotels.com

Amazon TranslateNatura l and f luent language t rans lat ion

Real-time translation

Batch analysis Automatic language recognition

Low cost

ClearView Social

ClearView Social enable a company’semployees to share approved contenton LinkedIn, Twitter and other socialnetworks

To eliminate the reliance on manualtagging, ClearView Social turned toAmazon Comprehend to find insightsand relationships in text

“Amazon Comprehend tags entitieswith the highest confidence andenables us to make more accurateearned media estimates to reallydetermine ROI from social.”

Bill Boulden, CTO ClearView Social

https://aws.amazon.com/blogs/machine-learning/clearview-social-uses-amazon-comprehend-to-measure-the-impact-of-social-sharing/

Amazon ComprehendDiscover ins ights and re la t ionsh ips in text us ing deep learn ing

Entities

Key Phrases

Language

Sentiment

Amazon Comprehend

Amazon Comprehend

Storm

World Series

Stock market

Washington

L ibrary of news ar t ic les

Amazon Comprehend

D i scover ins ights and re la t ionsh ips in text us ing deep learn ing

Amazon LexBui ld ing conversat iona l in ter faces in to any appl i cat ion us ing vo ice and text

Integrated development in the AWS console

Trigger Lambda

functions

Multi-stepconversations

One-click deployment

Enterprise connectors

Fully managed

DEMO!

Amazon Rekognition

Amazon Rekognition

for video

Datalake – S3

AWS LambdaSearch

Amazon API Gateway

Amazon ElasticSearch

Amazon CognitoUser Pool

Amazon Transcribe*

Amazon Comprehend

AI Analytics SearchData Interaction

.jpg, .png

.mp4, .mov

.mp4,

.mp3, .wav, .flac

Transcript,json

metadata

AWS Step Functions

AWS Amplify

metadata

metadata

metadata

AWS Lambda

Fin Avenue

Demo - https://github.com/awslabs/media-analysis-solution

Thank You!

Marc Cabocel, AWS Solutions Architect - @CabocelMarcNicolas Cunin, CTO Fin Avenue - @?