Conversational Bots : Amazon Lex, IBM Watson, Microsoft Bot and Google Assistant
summary
Live demos compare four stacks and show what actually gets built and what works: Dialogflow (API.ai) demo shows intents, entities, contexts, webhook fulfillment and claims ~300,000 developers across 150 countries and 14 languages; QnA Maker in ~3 minutes converts an FAQ site to a REST endpoint and then plugs into Microsoft Bot Framework + LUIS for richer intent handling; Amazon Lex + Lambda builds voice/text bots (order flowers, coffee), exports to Alexa and web/mobile; Watson Discovery with 243 sessions indexes Devoxx session JSON and the React frontend calls Conversation then Discovery — all demos run end-to-end.
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chapters (30)
- 0:00Start
- 0:20Dialog Flow
- 8:18Key Differentiators
- 11:53Pre-Built Agents
- 22:48Define Synonyms
- 29:41The Integration of Customer Responses
- 34:04Chat Base for Advanced Analytics
- 34:23References
- 36:29Build Chat Bots Using the Microsoft Platform
- 40:56Q & a Maker
- 41:50Frequently Asked Questions
- 45:02Code First Approach
- 47:02What Is the Azure Bot Service
- 48:16Implementation of a Chat Bot
- 49:25Git Clone
- 58:38Trigger Action
- 1:03:15Continuous Integration
- 1:05:45Cortana
- 1:08:17Tara Walker
- 1:08:33Amazon Lex
- 1:10:34Utterances
- 1:11:20Fulfillment
- 1:13:21Workflow
- 1:15:57Demo
- 1:25:45Restrict the Slots to Values
- 1:27:08What To Ask the User
- 1:43:18Coffee Bot
- 1:47:30Delegate
- 1:50:31Environment Variables
- 2:01:57Pricing
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