Discover how you can leverage the Azure BOT Framework to build, connect, deploy, and manage intelligent bots to naturally interact with your users via your apps or website. These are the slides that I discussed at "We Are Developers AI Congress 2018" in Vienna.

1. lorenzo.barbieri@microsoft.com
https://www.linkedin.com/in/geniodelmale

2. What is Conversational AI?
Conversational AI is a subfield of artificial
intelligence focused on producing natural
and seamless conversations between
humans and computers
• A new user interface paradigm
• Exposes software services through
conversational interface
• In apps, browser and on IoT devices
• Pro-active capabilities
(Virtual Assistant etc.)

3. Azure Bot
Service
Growth

4. Conversational

5. AI
Capabilities
Bot Features:
Personality
Dialogs
Language Model
Knowledge
Sources
Manuals
(PDF)
Data Sources
General
Knowledge
Conversational AI
Azure Bot Service +
Cognitive Services
LOB Apps
Enterprise stores
Language
Understanding
Speech
Vision
QnA
Type Speak
Tap
User
Input
Devices
Channels
Azure Bot
Services
Adaptive
Cards

7. BotBuilder V4 SDK
• C# support .NET Core
• Python and Java - still in preview

8. Bot Framework – Open Source Project
• SDK V4 C# JavaScript Python Java
• SDK V3 (C#, JavaScript)
CLI Tools
Emulator
WebChat Control
Documentation
BotBuilder-Samples
https://github.com/BotBuilderCommunity

9. Templates and Solutions
To help more businesses and customers
succeed with great conversational experiences,
we are creating a series of Templates to greatly
simplify getting started and Solutions to help
enable complex new scenarios.
Bringing together all of the best practices and
supporting components we've identified
through building the first wave of
Conversational Experiences.
Templates
• Basic
• Enterprise
Solutions
• Virtual Assistant
• Customer Support (Coming Soon)
• …others in development…

11. Templates and Solutions
5 minutes to a working end-to-end conversational experience
• Introduction message with Adaptive Cards
• Automated typing indicators
• .bot file driven configuration
• Example Dialogs
• Basic conversational intents in multiple languages
• Example responses abstracted into separate View classes.
• Inappropriate / PII detection with Content Moderator
• Transcripts of all conversations stored in Azure Storage
• QnAMaker Integration
• Integrated Dispatcher for LUIS and QnA targets
• Application Insights and PowerBI for Conversation Analytics
• Authentication
• Complete automated deployment of all aspects
• Open Sourced and updated regularly.

12. Tools that cover all the Lifecycle of your Project
Comprehensive framework for the lifecycle of your project
Plan Build Test Publish Connect Evaluate
Author Dialogs
Design Cards
Visualize
Bot Builder SDK
Cognitive Services
Getting Started
Templates
Emulator​
Application
Insights
Conversation
Transcripts
DevOps Tools
Azure
BYO Web Host
WebChat
Cortana
Skype, FB
+
Custom
(DirectLine)
Application
Insights
LUIS
Suggestions

13. user=vishwac
bot=cafebot
user:What are your locations
bot:We have Cafe locations in Redmond,
Seattle, Renton and Bellevue
user:who is your CEO
bot:Joshua Newmann is the CEO of Contoso Cafe
user:Are you hiring
bot:You bet, we always are. Please visit
http://contosocafe.com/careers
ChatDown Plan
Mocking Conversation

14. Language Build
Modelling: Language Understanding
LUIS QnA
# Import LUIS model
luis import version --in jSONApp.json
# Train our LUIS model from LuDown
luis train version
# Publish the luis model
luis publish version
# Ask for a prediction
luis query -q <querytext> --region <region>
# Greeting
- Hi
- Hello
- Good morning
# BookFlight
- book a flight from {fromCity=new york} to
{toCity=seattle}
### ? What can you do?
```markdown
I can greet and provide help
```
Creating: Language Understanding

15. QnA Maker Build
Data - Aggregate and extract
knowledge from non structured data
Architecture. The data and runtime
hosted in your Azure subscription.
Data privacy and compliance. QnA
data is hosted within your Azure
compliance boundary.
Seamless chit-chat integration with
personalities like: Profesional; Friend;
Comic.
Azure Application Insights integration.

16. Bot Framework Test
Emulator
• Test and debug bots
locally and in cloud
• View and manage bot’s
services
• Built in inspectors for LUIS
and QnA
• Train and publish directly
from emulator
• Extensible plugins for
inspectors

17. .bot File – Your Bot’s Publish
Services Manifest
A collection of services used by your bots
Bootstraps your bot
Integrates with Bot Framework Emulator
and toolchain
One place to manage services
.bot file example
• Localhost
• Azure Bot Service
• LUIS.AI
• QnA Makrer
• Dispatch
• Azure Application Insights
• Azure Blob Storage
• Azure Cosmos DB

18. Create bots and manage channels
Az bot Connect
# Create a web app bot
Az bot create –kind webapp –n “wien2018bot”
# Manage channel registration from command line
Az bot skype create
Az bot msteams create
Az bot email create –-email <email> --password <password>
Az bot directline create
# Download bot source to work locally
Az bot download <path>
# Publish your bot source to a bot instance
Az bot publish

19. Feedbacks from E Evaluate
the Users
Application Insights & Power BI
LUIS Suggestions
Always provide a method to involve a
human

20. Point of
Interest
Mail
Automotive
Custom
Hospitality
Conversation Skills
(Customisable)
APIs
Productivity
1st/3rd Party
Directory
Tasks
Calendar
Linked
Accounts
AI
Capabilities
Language
Understanding
Speech
Vision
QnA
Knowledge
Sources
Manuals
(PDF)
Data Sources
General
Knowledge
3rd Party
Assistants
IoT Edge
Devices
Type Speak
Tap
User
Input
Adaptive
Cards
Channels
Azure Bot
Services
Virtual Assistant
Your Brand
Your Personality
Dialogs
Language Model
Virtual Assistant
Your brand, your assistant,
GDPR aware

21. Comprehensive Bot
Development Experience
https://github.com/Microsoft/botbuilder-tools
https://github.com/Microsoft/botbuilder-samples
https://github.com/Microsoft/AI/Solutions

22. @_geniodelmale – you can leave
280 char worth of feedback!
More feedback?
lorenzo.barbieri@microsoft.com
https://www.linkedin.com/in/geniodelmale