Google Assistant VS Alexa: Battle of the Bots
summary
Code-first walk through of building one backend that serves both Alexa and Google Assistant, with concrete examples using Actions on Google and Dialogflow, deploying fulfillment on Azure/AWS and testing with remote debugging. Demonstrates dynamic slots/search query, SSML voice control, CMS-driven copy and IBM Watson tone analysis to vary replies, and a working Jedi demo that invokes both platforms. Cites Gartner-style claim that by 2021 over 50% of enterprises will spend more on bots than mobile, arguing enterprise reuse of existing business logic is practical and achievable.
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chapters (13)
- 0:00GOOGLE VS ALEXA BATTLE OF THE BOTS
- 9:44WHERE DO WE PROGRAM IT?
- 11:54WHAT CONCEPTS SHOULD I KNOW?
- 13:19THE COOPERATIVE PRINCIPAL
- 16:04CONVERSATIONAL IMPLICATURE
- 23:29WHAT ABOUT DEBUGGING AND TESTING?
- 26:06HOW TO MAKE A BASIC SKILL WITH A SERVICE?
- 28:36CAN IT TAKE DYNAMIC USER INPUT?
- 35:25WHAT ABOUT EXPRESSION?
- 42:07KEEPING TRACK OF CONTEXTUAL CONVERSATION
- 44:08CAN I CHANGE RESPONSES BASED ON USER INPUT?
- 45:45DOES EVERY RESPONSE HAVE TO BE SCRIPTED?
- 51:44STAY CURIOUS. Heather Downing
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