The Two Challenges Keeping Knowledge Leaders Up at Night and the One Answer That Solves Them Both

Knowledge managers face two existential challenges at once: an aging workforce retiring en masse and walking out the door with decades of critical institutional knowledge with them, and at the same time, enterprise AI initiatives that demand governed, structured knowledge at a scale most organizations can't deliver. These problems look different on the surface, but they share a common root cause and solution.

In this session, Evan Siegel shared how leading organizations are solving both challenges simultaneously through AI-powered knowledge management and automation. This discipline simultaneously captures institutional expertise before it disappears and provides the trusted, AI-ready knowledge foundation that enterprise AI demands. 

Participants walked away with:

• Why the tribal knowledge crisis and the AI readiness gap are two symptoms of the same underlying problem
• Real-world case studies from Fortune 500 companies capturing expert knowledge at scale and converting it and other enterprise knowledge into a strategic asset ensuring business continuity and enabling AI innovation.
• A practical framework for building a knowledge foundation to future-proof your workforce and your AI investments at the same time

For knowledge leaders, this is a rare moment: the opportunity to deliver the solution to two of the most pressing enterprise problems and become the strategic hero your organization didn't know it needed.

You can view the presentation slides for this session in the APQC Resource Library.