Bots - the next UI revolution
summary
Microsoft Bot Framework plus Azure Cognitive Services powers bots that run on web chat, Teams, Slack, Alexa and phone with QnA Maker for FAQ search, LUIS for intent/entity extraction and Direct Line for custom channels. Demos show a health-bot triage, speech and vision APIs and a Q&A bot working end to end. Enterprises (banks, gov, universities) integrate bots to automate FAQs and IT help; HP routes 70% of 600M contacts to AI. Common failures are monolithic designs and poor UX — require human handoff, logging and review endpoints.
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chapters (47)
- 0:00Introduction
- 0:46I love trying new things
- 2:11Looking back at the past
- 3:24What are bots
- 10:13HP example
- 12:03Statistics
- 16:40Deep Machine Learning
- 17:04Cognitive Services
- 18:13Cognitive Services Demo
- 19:13Vision Services Demo
- 20:52Cognitive Service Demo
- 22:43QA Maker Demo
- 26:25Lois
- 27:59Book a flight
- 31:07Easy to use
- 31:25Bot anatomy
- 32:07Building a bot
- 34:13Creating a resource
- 35:23Creating a bot
- 38:15The power of Azure
- 38:41Bots are amazing
- 39:09The monolith
- 40:33Design driven
- 41:31Microsoft Health Bot
- 42:10Louis
- 43:07How to start the day
- 43:30How can I help you
- 43:56Health bots
- 44:09Common bot fails
- 44:51Demos on GitHub
- 45:02Mysterious bots
- 46:07Adaptive cards
- 46:51Review endpoint addresses
- 47:29Analytics
- 47:42Factors that dont guarantee bot success
- 48:15My tips
- 48:34What should solve the users problems
- 48:55People are already building awesome bots
- 49:12Bot SDK v3
- 49:47Bot Framework
- 50:17Ambient Experiences
- 51:33Predictable
- 52:32Technology
- 53:06Words a minute
- 54:48Challenge yourself
- 55:04The future is crazy
- 55:30Green
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