![15
Microsoft Bot Framework - Activities
public async Task<HttpResponseMessage> Post([FromBody]Activity activity)
{
if (activity.Type == ActivityTypes.Message)
{
var connector = new ConnectorClient(new Uri(activity.ServiceUrl));
Activity reply = activity.CreateReply($"You sent {activity.Text} which
was {activity.Text.Length.ToString()} characters");
await connector.Conversations.ReplyToActivityAsync(reply);
}
var response = Request.CreateResponse(HttpStatusCode.OK);
return response;
}](https://image.slidesharecdn.com/d365saturdayamsterdam2018jorispoelmansclean-180206185604/85/Dynamics-365-Saturday-Amsterdam-02-2018-Dynamics-365-and-chatbots-15-320.jpg)
Uploaded byJoris Poelmans
Dynamics 365 Saturday Amsterdam 02/2018 - Dynamics 365 and chatbots
(1) Chatbots are evolving from simple keyword-based bots to more advanced bots that can understand natural language. They are being used across multiple messaging channels and mediums. (2) Major chatbot frameworks like Microsoft Bot Framework and Google Dialogflow provide tools to build bots that can have rich conversations using dialogs and cards. They also integrate with natural language processing services. (3) Microsoft Bot Framework allows building bots using SDKs for Node.js or .NET that can connect to services like Azure Cognitive Services for language understanding and retrieve data from sources like Dynamics 365.
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Dynamics 365 Saturday Amsterdam 02/2018 - Dynamics 365 and chatbots
- 1. 1 Dynamics 365 an chatbots Joris Poelmans February 3th
- 2. 2 About me • Solutionarchitect • Work at Realdolmen • Blog: http://jopx.blogspot.com • Twitter: @jopxtwits • Board member Belux CRM User Group
- 3. 3 Big thanks tothe sponsors
- 4.
- 5. 5 What is a(chat)bot and why should I care?
- 6.
- 7.
- 8. 8 How bots evolved Simple •One medium • Keyword based Moderate • Multiple mediums • Use custom messaging • Keyword based Advanced • Multiple mediums • Use custom messaging • Understands natural language
- 9. 9 Channel connector frameworks GoogleDialogflow (API.AI) Microsoft Bot Framework
- 10. 10 Microsoft Bot Framework • SDKfor building bots • Node.js or .NET • Multiple channels • Rich conversations with dialogs and cards • Rich attachment support • Natural Language Processing – QnA or LUIS.AI
- 11. 11 Demo – QnAMaker sample bot
- 12. 12 QnA Maker • FreeREST-API and web based service to power a Q&A bot • No code way of managing content for a FAQ style bot • Preview
- 13.
- 14. 14 Microsoft Bot Framework– Connector Service var connector = new ConnectorClient(incomingMessage.ServiceUrl); var replyMessage = incomingMessage.CreateReply("How can I help?"); await connector.Conversations.ReplyToActivityAsync( replyMessage);
- 15. 15 Microsoft Bot Framework- Activities public async Task<HttpResponseMessage> Post([FromBody]Activity activity) { if (activity.Type == ActivityTypes.Message) { var connector = new ConnectorClient(new Uri(activity.ServiceUrl)); Activity reply = activity.CreateReply($"You sent {activity.Text} which was {activity.Text.Length.ToString()} characters"); await connector.Conversations.ReplyToActivityAsync(reply); } var response = Request.CreateResponse(HttpStatusCode.OK); return response; }
- 16. 16 Microsoft Bot Framework- Dialogs
- 17. 17 Microsoft Bot Framework- Dialogs
- 18. 18 Microsoft Bot Framework Attachments,cards and actions
- 19. 19 Microsoft Bot Framework– FormFlow Jane user John bot
- 20. 20 Microsoft Bot Framework– FormFlow Jane user John bot
- 21. 21 Microsoft Bot Framework– FormFlow Jane user John bot
- 22.
- 23. 23 Demo – CustomerService Bot
- 24. 24 Language understanding is .. •Technically challenging • Costly to implement • Often domain specific
- 25. 25 Natural Language ProcessingServices
- 26. 26 • Utterances • Intents •Slots or entities NLU concepts
- 27. 27 LUIS Create your own LUmodel Train by providing examples Deploy to an HTTP endpoint and activate on any device Maintain model with ease
- 28. 28 Demo – LUIS.aiPortal
- 29. Azure Bot ReferenceArchitecture User Direct Line Facebook Messenger Skype Telegram Web Chat Bot Connector Intent Handling Bot Application Message Response Cognitive Services Knowledge Base Azure Search DocumentDB Application Insights Telemetry collects customer activity, effectiveness and technical information Azure Functions Backend Services (e.g. Dynamics CRM)
- 30. What makes abot great …. Not how much AI it has Not how sophisticated the language model is Not whether it uses voice or not Not whether it uses Buttons/Cards
- 31. What makes abot great … Great bots are like great apps; they appeal to users because they do whatever they're trying to do WELL
- 32.
- 33. 33 Big thanks tothe sponsors