As GenAI transforms how information is captured, summarized, and retrieved, the core mission of Knowledge Management is shifting from document storage to context, governance, and strategic enablement. This session explores what KM teams must prioritize now—taxonomy design, feedback loops, data quality, and cross-functional alignment—to ensure AI systems produce accurate, trustworthy, and business-ready outputs.

Discussion topics include:

• What GenAI can and can’t replace in traditional KM programs
• How to design taxonomies, metadata, and governance frameworks that improve AI accuracy
• Building high-quality “source of truth” repositories that power reliable prompts
• Creating human-in-the-loop review models that ensure quality, security, and ethical use
• Aligning KM, legal ops, IT, and practice groups around shared GenAI objectives