Google vs Alexa: Battle of the Bots
summary
Argues for one centralized backend that services both ecosystems and shows runnable code using a REST JSON endpoint, AWS Lambda or regular webhooks, plus remote-debugging tips. Uses Alexa Skills Kit, Dialogflow / Actions on Google and session attributes; notes Alexa is quicker to ship, Google is more powerful and multi‑lingual. Cites Gartner figures (>$3.5B device spend and 25% employee voice interactions) and demos that repeat purchases (Domino’s), Roomba hacks and SSML voice tuning actually work; search queries accept ~7 words.
AI-written summary · about
chapters (12)
- 0:00Introduction
- 1:40Do you know how to build this
- 7:33How does this scale
- 10:24How does it work
- 13:25Google Actions
- 20:32Alexa Voice Service
- 31:20Conversational Implicature
- 37:04Conversational Terminology
- 39:40Invocation Name
- 41:30Debugging Testing
- 42:51What You Need
- 46:18Predefined Lists
related talks
52mGoogle Assistant VS Alexa: Battle of the Bots
56mGoogle vs Alexa: Battle of the Bots
44mDeveloping Skills & Actions for Voice Assistants
02h 35mConversational Bots : Amazon Lex, IBM Watson, Microsoft Bot and Google Assistant
44mBuilding Advanced Voice Applications for Alexa and Google Assistant
45mKeynote: Conversations with Machines
54mAlexa, ask Cortana to tell Google to...
54mTalk over text: Conversational interface design and usability
