Developing Sophisticated Conversational Experiences w/ Microsoft AI Platform
summary
Shows building a working chatbot end-to-end using Power Virtual Agents that scrapes an FAQ page to auto-suggest topics, captures an e-mail and dietary restriction, and writes rows into Dataverse via a Power Automate flow. Demonstrates lazy variable evaluation, automatic trigger improvements from real conversations, deployment into Teams and web via iframe, and built-in analytics (engagement, resolution, escalation, CSAT). Also previews a unified canvas with editable code using Power Fx and confirms the demo actually stores data and appears in Teams.
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chapters (14)
- 0:00Introduction to conversational AI
- 1:23Introduction to Power Virtual Agents
- 2:45Building a bot from scratch
- 5:36Configuring bot topics and triggers
- 9:14Refining bot interactions
- 12:00Backend integration and data storage
- 17:32Advanced data binding and API usage
- 20:16Testing and debugging flows
- 24:34Deployment and channel integration
- 27:39Security and authentication
- 32:26Analytics and bot monitoring
- 36:39Architecture and future roadmap
- 40:08Advanced development features
- 43:37Live demo and Q&A
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