Using AI to Optimize All Four Stages of Enterprise Search

During the fourth stage, AI monitors and gathers data about how humans are interacting with the technology. Then, it feeds information back into the system so the search platform can learn and adjust, creating a continuous improvement loop. Traditional enterprise search was limited by an IT team's ability to guess all the ways people might articulate a question. Intelligent search avoids that by capturing all the contextual data surrounding a search--different terminology, how questions are naturally asked, what pages the user just looked at, whether they clicked the back button--to make adjustments for the next search experience. Activity data also produces insightful reports that help data managers adjust search results manually, for example, determining the exact placement of a document ranking if needed.