Watson bluemix 17112014

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#Bluemix - Assemblage immédiat de services - Développement itératif - Déploiement des applications en minutes - Infrastructure “invisible” Eric Segard, Cloud Enabler – France IBM ® Bluemix VITE mettre en application vos idées neuves ré-inventer votre métier? https://ace.ng.bluemix.net

Transcript of Watson bluemix 17112014

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#Bluemix

- Assemblage immédiat de services

- Développement itératif- Déploiement des applications en minutes

- Infrastructure “invisible”

Eric Segard, Cloud Enabler – France

IBM® Bluemix™

VITE

mettre en application vos idées neuvesré-inventer votre métier?

https://ace.ng.bluemix.net

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#Bluemix

IT traditionnelle

A – RAPIDE & AGILE

Benefices100% customizablePeu de limitations.Necessaire pour certaines applications Investissements existants

Délais de mise en oeuvreDes semaines pour le setup et de déploiementGestion des upgardes HW et SW

~ Weeks ~ Days

Code

Data

Runtime

Middleware

OS

Virtualization

Servers

Storage

Networking

~ Minutes

Time to initial deployment

Customer Managed

IBM Devops

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BeneficesLa plupart des controls dans le cloud.Indispensable pour certaines solutions.Infrastructures managées

Infrastructure as a ServiceCustomer Managed

Service Provider Managed

~ Days

Délais de mise en oeuvreMinutes pour provisionner des VM.Délai variable de configuration des SW et des appsMaintenance é upgrades des OS, MW et runtimes

IBM SoftLayer

~ Minutes

Code

Data

Runtime

Middleware

OS

Virtualization

Servers

Storage

Networking

~ Weeks

Core ITTime to initial deployment

A - RAPIDE & AGILE

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#Bluemix~ Minutes

Platform as a Service

IaaS

BeneficesSetup d’environnemment et déploiement d’applications Infrastructure et platformes managées

Délais de mise en oeuvreMinutesFocus sur les apps et les données

~ Weeks

IBM Bluemix

~ Days

Time to initial deployment

Code

Data

Runtime

Middleware

OS

Virtualization

Servers

Storage

Networking

Core IT

Customer Managed

Service Provider Managed

Focus on Code

A - RAPIDE & AGILE

une équipe de 4 à 5

développeurs peut

développer une appli web oumobile

en quelques heures et la

déployer en toute sécurité

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#Bluemix

6

5

4

3

2

Idée :

assistance

véhicules

connectés

Application :

Assemblage

portail IoT +

géoloc +

envoi de SMS

Ajout d’un service

de dépannage

Ajout d’un

service de

monitoring, de

sécurité

B – RAPIDE & AGILE

service de

questions

réponses (call

center) Watson

1

ITERATION

Une app sécurisée qui assiste les

clients sur la route

Ajout service de

réparation au

garage

Intégration progressive de fonctions nouvelles

Amélioration itérative de l’expérience client

IDEE

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#Bluemix

C – RAPIDE & AGILE : prendre le train de l’API economie

Avec le Cloud et les APIs, les entreprises croissent plus vite (CA, bénéfices)

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#Bluemix

Communauté Opensource

Fondée en juillet 2013

BlueMix : portail de composition de services, de développement et d’exécution d’applications digitales

Support IBM 24/24 7/7

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#Bluemix

India

China

Hong Kong

Singapore

Melbourne

Sydney

Tokyo

Seattle

San Jose

Los Angeles

Mexico City

Houston

Denver

Dallas

Miami

Atlanta

Washington D.C.

Montreal

TorontoChicago

London

Frankfurt

Paris

Amsterdam

Brazil

New York City

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#Bluemix

IBM Cloud Marketplace

http://www.ibm.com/cloud-computing/us/en/marketplace.html#partner-services

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#Bluemix

Bluemix : 100k+ developpeurs enregistrés

Europe EcoD Bluemix

Registrations

New UniversityCourses

Partnership & Influencers

City Living Labs

Developer Conferences

Startups ISVs

University Campus with Labs

4K

VADs

4K3K

15K

20 K

Dev Online Community

Hackathons

6K

35K 6K

3K

3K

System Integrator

8 K

https://ace.ng.bluemix.net

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#Bluemix

Services Watson Bluemix⦁ The Concept Expansion service analyses text and interprets its meaning based on usage in other similar contexts. For example, it could interpret "The Big Apple" as meaning "New

York City". It can be used to create a dictionary of related words and concepts so that euphemisms, colloquialisms, or otherwise unclear phrases can be better understood and

analyzed.

⦁ The Language Identification service detects the language in which text is written. This helps inform next steps such as translation, voice to text, or direct analysis. The service can be used in tandem with the Machine Translation service. Today, the service can identify 25 languages - Arabic; Chinese (Simplified); Chinese (Traditional); Cyrillic; Danish; Dutch; English;

Farsi; Finnish; French; German; Greek; Hebrew; Hindi; Icelandic; Italian; Japanese; Korean; Norwegian (Bokmal); Norwegian (Nynorsk); Portuguese; Spanish; Swedish; Turkish; Urdu

⦁ The Machine Translation service converts text input in one language into a destination language for the end user. Translation is available among English, Brazilian Portuguese, Spanish, French, and Arabic.

⦁ The Message Resonance service analyzes draft content and scores how well it is likely to be received by a specific target audience. This analysis is based on content that's been written by the target audience itself such as fans of a specific sports team or new parents. Today, analysis can be done against people active in cloud computing or discussions but future versions will let users provide their own community data.

⦁ Interprets and answers user questions directly based on primary data sources (brochures, web pages, manuals, records, etc.) that have been selected and gathered into a body of data or 'corpus'. The service returns candidate responses with associated confidence levels and links to supporting evidence. The current data corpora on Bluemix focuses on the Travel and Healthcare industries.

⦁ Parses sentences into their various components and detects relationships between the components. It can process new terms (like people's names in a news feed) it has never analyzed before through contextual analysis. Sentence components include parts of speech (noun, verb, adjective, conjunction, etc.) and functions (subjects, objects, predicates, etc.). The service maps the relationships between the components so that users or analytics engines can more easily understand the meaning of individual sentences and documents.

⦁ Parses sentences into their various components and detects relationships between the components. It can process new terms (like people's names in a news feed) it has never analyzed before through contextual analysis. Sentence components include parts of speech (noun, verb, adjective, conjunction, etc.) and functions (subjects, objects, predicates, etc.). The service maps the relationships between the components so that users or analytics engines can more easily understand the meaning of individual sentences and documents.

⦁ The User Modeling service uses linguistic analytics to extract a set of personality and social traits from the way a person communicates. The service can analyze any communication the user makes available such as their text messages, tweets, posts, email, and more. Users of the service can understand, connect, and communicate with people on a more personally tailored level by analyzing personality and social traits.