Chat bots are brittle and costly to scale.  At the end of the day, a chatbot is a channel to data, content and knowledge.  This means that sound information retrieval approaches have to be followed.  AI content should not be considered as significantly different from other content (with some exceptions).  In this session we will discuss how to solve problems today and prepare the organization for the future by modeling content and knowledge assets so that they can be reused in multiple contexts from traditional search and retrieval through AI driven approaches.  This will show leadership how to approach chat and voice bots so that content and data is flexible and usable across contexts and applications.