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© IBM France 2017
Université IBM i 201717 et 18 mai – IBM Client Center de Bois-Colombes
S20 – Que faire avec IBM Watson ? Mercredi 17 mai – 16h50-17h30
Christophe LALEVEE – Senior Architect IBM Client Center Montpellier, France
@ : lalevee@fr.ibm.com : linkedin.com/in/clalevee : @chris_lalevee
© IBM 2017
What is Watson ?
“IBM Watson is a cognitive technology that can think like a human.” (ibm.com)
© IBM 2017
Watson is available as a set of open APIs and SaaS products
• Watson Developer Cloud− Start building with Watson APIs: tap into the power of Watson through APIs
that allow you to build cognition into your apps and products, whether it’s a web or native app, or even robotics.
3
Sample code Starter kits
© IBM 2017
Watson is available as a set of open APIs and SaaS products
• Gain insights with Watson Products− We offer solutions and applications for a range of industries to gain insights
from unstructured data and scale your employee's expertise.
4
(SaaS)
© IBM 2017
What is Watson today?
Watson Offerings
Watson Virtual Agent
Watson Explorer Watson Knowledge Studio
Enable cognitive computing
features in your app using APIs.
Product &SaaS Offerings
Watson Analytics
Watson Developer Cloud
SpeechVisionLanguage Data Insights
© IBM 2017
© IBM 2017
No data refinement capabilities
Data exploration only
Slower to deploy, requires a desktop installation
Still requires significant analytic skill Not truly a “business user” solution
Can only address simple business questions
Data needs to be manually refined, an IT intensive task
Creates data silos and maintenance tasks for IT
Existing “Desktop” solutions fall short
© IBM 2017
Watson Analytics: key features
8
Natural language dialogue
Engage with your data conversationally and discover new associations and insights. All you need is a desktop web browser or the mobile app for iPad.
© IBM 2017
Watson Analytics: key features
9
Automated predictive analytics
Automatically surface what is likely driving outcomes.
© IBM 2017
Watson Analytics: key features
10
One-click analysis
Make sense of data discoveries in one click with automatic visualizations you can use in dashboards to tell more powerful stories.
© IBM 2017
Capabilities and Features for IBM Watson Analytics can change, italics represent access at a later date, please consult IBM.com for Watson Analytics editions and latest information
Watson Analytics Editions(March 2017)
© IBM 2017
Extend Watson Analytics capacities
• Broader Data Source Support− Access your data sources from one place for quicker insights
March 2017 - Capabilities and Features for IBM Watson Analytics can change. Please consult ibm.com for Watson Analytics latest information
© IBM 2017
Demonstration: architecture overview
1
3
4
SysBOn-
prem
ise
DB2
SysAMariaDB SysC
DB2 for i
Data Marts
DB2
DM
Z
Db
orETL ETL
Copy
Data Warehouse
DB2
DB2
2
© IBM 2017
Secure Gateway: main concept
Application Secure Gateway ClientSecure Gateway
10.3.54.52:446
10.3.54.52:446
xxx.integration.ibmcloud.com:15216
NAT
tunnel
Internet
RDBMS
IBM DataPower
connect
Get data
© IBM France 2017
Demo
15
© IBM 2017
Watson Developer Cloud
Watson Offerings
Watson Virtual Agent
Watson Explorer Watson Knowledge Studio
Watson Analytics
Watson Developer Cloud
SpeechVisionLanguage Data Insights
© IBM 2017
Watson Developer Cloud: “Build with Watson”
Self-Serve environment» Cloud access to API’s» Developer environment
• API’s, SDK’s, Demos, Code, App Gallery, Forum
Rapid Innovation in Cognitive Solutions
Make your apps Read, Hear, Talk, See & Learn
© IBM 2017
Watson Developer Cloud provides developers easy access to cognitive building blocks
• Watson cognitive services are grouped into four categories :
Data Insights
Language
Vision
Speech
© IBM 2017
Watson cognitive services are grouped into four categories
19
© IBM 2017
Watson as the Center of Customer Engagement • Flexible, cost-effective solutions for building chat bots and virtual agents • Build from the ground up or buy pre-built capabilities
Create natural language interactions with your end-users, including Q&A
and onboarding
Create an omni-channel experiencefor better user engagement
Advanced Machine Learning capabilities
Build once, deploy across multiple platforms
Detect emotional states* and responds in appropriate ways
Walk customers through business processes like application forms or
resetting a password
*Leveraging Watson Tone Analyzer
© IBM 2017
Combine Watson APIs for higher value apps
• Example: Interactive Q&A with greater understanding and personality
Speech to Text, Text to Speech
Conversation
“How many t-shirts remain in stock?”Convert Speech to Text
Identify Intent• Intent = “Check_Stock_Level” • Confidence: 0.876655900
Dialog tree walks user to desired outcome• Intent=“Check_Stock_Level” • Context = “store, color, size, …”
Action: Query DB or RMS
Phone, Text, Chat
+ Natural LanguageUnderstanding?
+ …
© IBM 2017
Principe
Client
ConversationServer
Watson Developer Cloud(Conversation)
ERP
2- Welcome msgor Answer
3- Question
4- Identify Intent 1- Initiate dialog
7- Access / Test context
8- if context completed, then action (query ERP) else, à go to step 2 (loop)
10- Answer(Result)
9’- Format result
5- Manage dialog using identified intent / entities6- Capture context elements (profile)9- Format result (Natural Language)
0- ConnectOn-prems
Off-prems
© IBM 2017
Conversation Application Logic UserDevice
.
Take Action ? Take Action ?
“Take Action”: where?
© IBM 2017
Cognitive - Reference Architecture This is the runtime architecture which showcases the components that are involved in the usage of a trained and deployed Cognitive Engagement System
IBM Architecture Center
https://developer.ibm.com/architecture
© IBM France 2017
Demo
25
© IBM 2017
Demo: architecture overview
DB2
HTML Pages
UsersTranslated messages
Watson developer CloudD o c k e rC o n t a i n e r
MQTT Broker
DataAccess
Message Internet
DialogData
BusinessData
Dialog Data
Internal Web App.
CRM / RMS(“ERP”)
Languagetranslator
ConversationHTTPd PersonalityInsights
“Tweets”
C l o u dF o u n d r y
Mobile App.
© IBM 2017
Demo: Seller dialog with RMS on Power IBM i
© IBM 2017
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