AI is only as effective as the knowledge behind it. As organizations invest in generative AI and intelligent assistants, many are discovering that outdated content, inconsistent governance, and poor knowledge quality limit AI's ability to deliver reliable business value. At the same time, foundational content management practices—such as governance, taxonomy, metadata, and content lifecycle management—remain essential for ensuring knowledge is accurate, trusted, and ready to power AI. What does it really take to make enterprise knowledge AI-ready?
Join APQC's Lynda Braksiek, Principal Research Lead for Knowledge Management and Lauren Hays, Research Manager, for an interactive roundtable discussion exploring how organizations are preparing their content and knowledge for trusted AI use.
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