AI Optimization

AI Data Engineering

In order for a search engine to use content, it has to be optimized for AI. Data engineering is the process of taking large documents and breaking them down into "chunks" of content by topic so that your AI search engine can recognize, assimilate, and return this information in a usable way. Imagine having one long technical brief or white paper and transforming it into small pieces focused on content or action. 

• Metadata is instrumental in this practice to ensure AI can determine what belongs to which subject, product, etc.

• Information architecture informs the system of what content belongs to what parents or children.

• Layout is simple and straightforward following UX web writing principals.

This type of content structuring is available to be taught in seminars, with workshops taking your specific content and breaking it down by UX standards. 

Optimizing Content Creation

AI is an important tool when it comes to optimizing your business processes and functions. Some common uses I employ include:

• Processing survey results to group into categories and identify actionable items

• Scaling content for different audiences

• Optimizing verbiage

• Collecting ideas for approaches to issues

• Streamlining complex processes

• Taking technical documentation and translating into a customer friendly document