Knowledge management (KM) is a critical driver of AI success, operational efficiency and improved customer experience. However, organizational realities — content that’s not machine readable, ambiguous data ownership, fractured tech architectures and unstandardized processes — often get in the way. This discussion tackles today’s most pressing challenges in KM and best practices to overcome them.