Designing Intelligent Content for AI

Intelligent content design is one of the foundational steps of an AI adoption program. Learn more about Intelligent Content. 

What is Intelligent Content?

Intelligent Content combines human and technological "brains" working in tandem, referring to content that is structured efficiently and intelligently, which is particularly important for AI applications. Intelligent content should be segmental, structured, reusable, format-free, and semantically rich. This content structure allows content to be accessible, easily manipulated, and device-independent.

Content is everywhere within organizations in varying forms, including customer documentation, FAQs, knowledge base, and online help. So where – and how – do we begin?

Audit existing content

Before redesigning content into intelligent content, audit existing content and determine how much content is currently available, whether it can be (or should be) used, whether it requires modification, and identify any informational gaps.

Create a content model

A content model is not a menu or a decision tree. A context-independent content model enables you to map out the content types, output platforms, and metadata elements for each content type. From here, you can create consistent, predictable, and logical guidelines for content creation while at the same time providing structure to your source content for scalable, future-proof content.

Create a content library

When creating your library, use the following structure to maximize your content:

• Taxonomy: Capture and create content using taxonomy. The first function of a taxonomy is to help people understand the structure of a knowledge domain at a glance. Predictability is the most critical feature of good taxonomy design. It is necessary to understand the natural categorization patterns of your different user communities and to balance out how they compete or conflict with each other.
• Metadata: Metadata drives search. Increase searchability by thoroughly tagging all or parts of your content, making it semantically aware. The product and its features are tagged with metadata, enabling it to be indexed and sorted.
• Reuse: Create a content source once and reuse content several times. Content components can then be used multiple times for outputs in different formats while allowing them to be easily updated across various devices, platforms, and outputs.
• Granular Content: Each piece (independent pieces) of content you create becomes discoverable, reusable, and adaptable to your output requirements.

Context-driven content delivery

There is a paradigm shift in the way end users access information. We have multi-channel delivery methods such as customer portals, smartphones, chatbots, and AI apps to access and consume information anywhere, at any given time. Creating intelligent content requires a shift in writing from concept and task-based writing to context-based writing. To get started with developing a plan for intelligent content, we recommend a content strategy. And if your organization plans on incorporating AI, an AI Roadmap can help with content planning for AI-readiness.