Data lives everywhere, scattered across many systems and content repositories. If you manage to consolidate all these information silos to build a single index for search, you are still confined by the limitations of keyword search tools. Such solutions require users to convert a question into the best possible keyword combination, creating friction in the user experience.

In this session, we will discuss how Amazon Kendra combines previously siloed data sources seamlessly into a single source of truth and allows users to pose natural language questions instead of keyword combinations to retrieve search results faster and more accurately.