The Next Evolution of KM: Operating Models for Data and AI Integration

What if the true power of artificial intelligence lies not in algorithms, but in how well organizations connect their data, knowledge, and people? This session explores how an integrated operating model can unite Knowledge Management (KM), Data, and AI functions to deliver faster decisions, stronger insights, and lasting business value.

As organizations race to scale AI, many discover that disconnected systems, unclear ownership, and cultural silos slow progress. KM can play a pivotal role in bridging these gaps—aligning governance, workflows, and collaboration to ensure that human expertise and machine intelligence work together effectively. Through an interactive role-play exercise, participants will experience how KM, Data, and AI teams often approach challenges from different perspectives and how shared models can reduce friction, streamline handoffs, and accelerate outcomes.

Participants will learn how to:

• Define the core components of a KM operating model and explain how it aligns KM, Data, and AI teams.
• Recognize common sources of misalignment across KM, Data, and AI and assess their impact on collaboration and outcomes.
• Demonstrate strategies for improving handoffs and workflows and apply those lessons to their own organization.

By connecting these disciplines under one cohesive structure, organizations can unlock the full potential of their data and expertise—transforming KM into a strategic enabler for the intelligent enterprise.