As technology evolves and the content landscape becomes more crowded, users are gravitating toward channels that deliver precise information across any device on demand.
According to a survey by Oracle, 80% of 800 chief marketing officers, chief strategy officers, senior marketers, and senior sales executives surveyed, reported they already use or plan to use chatbots by 2020.
Join Cruce Saunders, founder and principal at [A] (simplea.com) and author of Content Engineering for a Multi-Channel World, and senior content engineer Beth Weaving of [A], for a hands-on, mini-workshop introducing steps content owners can take to build chatbots that interact with existing content sets using the flexible power of intelligent, structured content.
You’ll learn the basic requirements for feeding a chatbot the content you already have. You’ll discover best practices for bot-driven content delivery, and you’ll leave with a clear understanding of the role structured content and content modeling play in helping you scale chatbot content delivery.
Basics Requirements for Building a Bot with the Content You Already Have
- How to recognize and leverage structured, bot-relevant content in customer documentation, online help, FAQs, and knowledge base applications to power one or more chatbots.
- The various types of chatbots and the value each serves as an engagement tool and content channel.
- Basic chatbot content requirements, components and construction.
- How interactive content can reside alongside traditional content
- How to source AI-Driven content from the CMS and extend existing content repositories.
- How a real-life API.AI and a native CMS was structured and built.
Structured Content and Content Modeling Best Practices for Bot-Driven Content Delivery:
- The basics of content modeling for multichannel publishing to chatbots
- Content architectures that support multichannel delivery to chatbots and other forms of interactive content applications
- The advantages of a master content model and how interactive content fits in
- Practical ways to integrate chatbot components into CMS structured content types including intents, responses, and entities.
- How taxonomy figures into chatbot content discovery and recommendations
- Resources for further exploration and implementation
Build the ability to:
- Begin single-sourcing intelligent content out to interactive channels
- Future-proof content by building a chatbot-ready content model
- Communicate requirements and content delivery systems architecture ideas to technical stakeholders
Activities will include:
- Simple exercises to help discover structured Q&A content that can be leveraged for chatbots in existing content sets across unstructured FAQs, knowledge management, customer service, and documentation.
- Interactive content modeling session, focused on models that support interactive bot content elements and attributes