Engineering Content for Bots, AI & Marketing Automation
summary
Shows a working chatbot that teaches intelligent content and pulls every answer from a single-source CMS by extending a content type with chatbot fields so the same asset serves web, AMP, social and bots. Explains using schema.org and Open Graph microdata, a content API, and a CX database to power real-time personalization. Claims structured content plus an API eliminates copy paste and that content only has value when it moves to users via Slack Facebook Messenger SMS or web.
AI-written summary · about
chapters (10)
- 0:00Introduction and agenda
- 1:29Old content stack vs web
- 2:56Multi-channel content distribution
- 4:24Semantic intelligence and schema.org
- 6:12Content API and structured publishing
- 8:02AR/VR and future content channels
- 9:07Chatbot content architecture
- 10:15Automated marketing systems
- 12:03The new content stack
- 13:07Content in motion and ROI
related talks
35mChatbots: The hype, challenges and opportunities
23mBeyond Chatbots: Creating Smarter, Personalized Experiences
54mDeveloping Sophisticated Conversational Experiences w/ Microsoft AI Platform
50mThe Art of Coding a Conversation: Designing Bots
54mBuilding advanced ChatBots
35mDesigning Experiences for Chatbots
55mEnterprise Chatbots (using messaging and AI to build novel user interfaces for work)
47mBuilding Intelligent Enterprise-Grade Help Desk Bots using Conversational AI