Build a great conversationalist
summary
Demonstrates how to assemble a production bot using the Azure Bot Framework with connected channels (web chat, Skype, Facebook Messenger, Slack, Cortana, Alexa), the Enterprise Bot Template that bundles content moderation, telemetry and multi-environment bot files, and local testing in the emulator. Shows language models with LUIS language understanding, adaptive cards, Power BI reporting, and storage choices (blob or Cosmos DB). Describes mixing JS/Python/C# code, multi-language support, and how the template routes intents, falls back to human handoff, and logs unanswered queries.
AI-written summary · about
chapters (14)
- 0:00Conversational AI intro
- 2:14Why conversational AI matters
- 5:32User expectations
- 8:45Intent recognition
- 11:18Enterprise bot templates
- 15:46Power BI reporting
- 19:24Multi-language support
- 23:01Debugging bots
- 26:16Bot performance
- 29:28Virtual assistants vs bots
- 32:03Future of conversational AI
- 33:31Pricing models
- 37:40Confidence in language
- 39:26Facebook Messenger integration
related talks
42mLet’s Chat-Bots using Azure AI
59mBuilding Intelligent Bots using Microsoft Bot Framework and Cognitive Services
27mLet's Chat-Bots using Azure AI
01h 00mDeep dive into building Bots with the Microsoft Bot Framework and Cognitive Services
54mDeveloping Sophisticated Conversational Experiences w/ Microsoft AI Platform
55mConversations for the masses
01h 03mA deep dive into Conversational AI with Microsoft Bot Framework
56mBuilding Intelligent Bots using Microsoft Bot Framework, Azure Bot Service and Cognitive Services
