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Da 0 all'AI Conversazionale
usando Microsoft Azure
Riccardo Cappello
Senior ICS Consultant @ Insight
Microsoft Azure MVP
Intel Software Innovator
Marco Parenzan
Senior Sales Specialist @ Insight
Microsoft Azure MVP
What is Conversational AI
Conversational AI
“Conversational AI refers to the use of messaging
apps, speech-based assistants and chatbots to
automate communication and create personalized
customer experiences at scale”
“A chatbot is a computer software program designed
to simulate human conversation via text, audio
messages, or images”
User Input Channels Business ProcessBot Intelligence
Conversational AI: Azure Bot Service + Cognitive Services
Bot Framework
SDK
Direct Line Protocol
REST Endpoint
Create a Conversation with Bot Service
Comprehensive framework for the lifecycle of your project
Author Dialogs
Design Cards
Visualize
Bot Framework
SDK
Cognitive
Services
Getting Started
Templates
Emulator​
Application
Insights
DevOps Tools
Azure
BYO Web Host
WebChat
Cortana
Skype, FB
+
Custom
(DirectLine)
Application
Insights
LUIS Suggestions
Intro on how the bot framework works
Basic conversation flow
• Every interaction creates an activity
• Bot Framework interacts with the user
via channel
• ConversationalUpdate and Message
• Requests arrive to the bot via HTTP
POST
• Status responses are an HTTP 200
• Conversation in managed via
TurnContext
Activity generated by “hi”
• Activity is executed via JSON
• JSON is deserialized and sent
to the Adapter, using the
ProcessActivity method
• Adapter creates the
TurnContext and calls the
middleware
• Activities are managed by the
ActivityHandler
Intro on how the bot framework works
Activities
• Main logic resides on
the BotEcho file
• Inherits from the
ActivityHandler
• Methods for activities
are protected, but can
be overwritten
DEMO
Create the first bot using Visual Studio
Open Framework Multiple Canvases
Adaptive Cards
Notification Microsoft Teams Skype Android iOS
Bot Service Lifecycle: Plan | Build | Test | Publish | Connect | Evaluate
QnA Maker
Based on Azure. The data and runtime hosted in your
Azure subscription.
Data privacy and compliance. QnA data is hosted
within your Azure compliance boundary.
Azure Application Insights integration. Helpful to get
insights on how the services is being utilized.
Machine learning-based service to build natural language into apps, bots, and IoT devices.
Quickly create enterprise-ready, custom models that continuously improve.
Quickly build a custom
language solution
Always learning &
improving
Enterprise-ready,
available worldwide
Add natural language
to your apps
Bot Service Lifecycle: Plan | Build | Test | Publish | Connect | Evaluate
LUIS – terminology
• Intent – the action/task the user wants to perform
• Utterance – the sentence where the user expresses the goal
• Entity – words or phrases inside an entity
• Domain –Intents related to a specific type of actions (e.g. Calendar
intents) – prebuilt domains
Language
Model
Custom Model
QnA
LUIS
BOT COMPONENTS
Bot Logic
LUIS
ANSWER,
INTENT
BOT RUNTIME
OTHERQnA
BOT COMPONENTS
Evaluate &
Improve
DEMO
QnAMaker; LUIS
Adding Personality Chat
Bot Personality
Professional Friendly
https://www.microsoft.com/en-us/research/project/personality-chat/
Bing Speech API
Convert speech to text and back
again, and understand its intent
Speaker Recognition API
Give your app the ability
to know who's talking
Custom Speech Service
Fine-tune speech recognition for
anyone, anywhere
QnA Maker
Distill information into conversational,
easy-to-navigate answers
Language Understanding
Intelligent Service
Teach your apps to understand
commands from your users
Easily perform speech
and text translation
Translator
Azure Search
Integrate search into a
conversational experience
Adding Intelligence
Example of Bot Framework implementation
DEMO
Sarah
GRAZIE!
Riccardo Cappello
Senior ICS Consultant @ Insight
Microsoft Azure MVP
Intel Software Innovator
Marco Parenzan
Senior Sales Specialist @ Insight
Microsoft Azure MVP
Platinum Sponsor
Gold Sponsor
Technical Sponsor

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Da 0 all'AI conversazionale usando Microsoft Azure

  • 1. Da 0 all'AI Conversazionale usando Microsoft Azure Riccardo Cappello Senior ICS Consultant @ Insight Microsoft Azure MVP Intel Software Innovator Marco Parenzan Senior Sales Specialist @ Insight Microsoft Azure MVP
  • 3. Conversational AI “Conversational AI refers to the use of messaging apps, speech-based assistants and chatbots to automate communication and create personalized customer experiences at scale” “A chatbot is a computer software program designed to simulate human conversation via text, audio messages, or images”
  • 4. User Input Channels Business ProcessBot Intelligence Conversational AI: Azure Bot Service + Cognitive Services
  • 5. Bot Framework SDK Direct Line Protocol REST Endpoint
  • 6. Create a Conversation with Bot Service Comprehensive framework for the lifecycle of your project Author Dialogs Design Cards Visualize Bot Framework SDK Cognitive Services Getting Started Templates Emulator​ Application Insights DevOps Tools Azure BYO Web Host WebChat Cortana Skype, FB + Custom (DirectLine) Application Insights LUIS Suggestions
  • 7. Intro on how the bot framework works Basic conversation flow • Every interaction creates an activity • Bot Framework interacts with the user via channel • ConversationalUpdate and Message • Requests arrive to the bot via HTTP POST • Status responses are an HTTP 200 • Conversation in managed via TurnContext
  • 8. Activity generated by “hi” • Activity is executed via JSON • JSON is deserialized and sent to the Adapter, using the ProcessActivity method • Adapter creates the TurnContext and calls the middleware • Activities are managed by the ActivityHandler Intro on how the bot framework works
  • 9. Activities • Main logic resides on the BotEcho file • Inherits from the ActivityHandler • Methods for activities are protected, but can be overwritten
  • 10. DEMO Create the first bot using Visual Studio
  • 11. Open Framework Multiple Canvases Adaptive Cards Notification Microsoft Teams Skype Android iOS Bot Service Lifecycle: Plan | Build | Test | Publish | Connect | Evaluate
  • 12. QnA Maker Based on Azure. The data and runtime hosted in your Azure subscription. Data privacy and compliance. QnA data is hosted within your Azure compliance boundary. Azure Application Insights integration. Helpful to get insights on how the services is being utilized.
  • 13. Machine learning-based service to build natural language into apps, bots, and IoT devices. Quickly create enterprise-ready, custom models that continuously improve. Quickly build a custom language solution Always learning & improving Enterprise-ready, available worldwide Add natural language to your apps Bot Service Lifecycle: Plan | Build | Test | Publish | Connect | Evaluate
  • 14. LUIS – terminology • Intent – the action/task the user wants to perform • Utterance – the sentence where the user expresses the goal • Entity – words or phrases inside an entity • Domain –Intents related to a specific type of actions (e.g. Calendar intents) – prebuilt domains
  • 15. Language Model Custom Model QnA LUIS BOT COMPONENTS Bot Logic LUIS ANSWER, INTENT BOT RUNTIME OTHERQnA BOT COMPONENTS Evaluate & Improve
  • 19. Bing Speech API Convert speech to text and back again, and understand its intent Speaker Recognition API Give your app the ability to know who's talking Custom Speech Service Fine-tune speech recognition for anyone, anywhere QnA Maker Distill information into conversational, easy-to-navigate answers Language Understanding Intelligent Service Teach your apps to understand commands from your users Easily perform speech and text translation Translator Azure Search Integrate search into a conversational experience Adding Intelligence
  • 20. Example of Bot Framework implementation
  • 22.
  • 23. GRAZIE! Riccardo Cappello Senior ICS Consultant @ Insight Microsoft Azure MVP Intel Software Innovator Marco Parenzan Senior Sales Specialist @ Insight Microsoft Azure MVP

Editor's Notes

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  4. m
  5. https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-basics?view=azure-bot-service-4.0&tabs=csharp m
  6. m
  7. https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-basics?view=azure-bot-service-4.0&tabs=csharp m
  8. r
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  13. How to dispatch information to different services : https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-dispatch?view=azure-bot-service-4.0&tabs=cs m
  14. m
  15. 17
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  17. 9/16/2019 6:21 AM
  18. How to build a virtual assistant : https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-virtual-assistant-introduction?view=azure-bot-service-4.0 r
  19. m