As AI agents become embedded in the workplace, the next challenge for learning leaders is not deploying tools but teaching those agents how to teach.
In the emerging human-and-agent workplace, knowledge can no longer live only in courses, documents, or LMS workflows. Organizations need a new foundation: a knowledge operating system that structures institutional expertise so AI agents can guide, explain, and personalize learning in real time.
In this session, we’ll explore how learning teams can design agent-ready knowledge bases and learning systems that activate expertise across the enterprise. We’ll also look at how rich media, structured content, and Kaltura's Agentic Avatars can transform static learning assets into interactive teaching experiences.
The result: a shift from content libraries and training tools to active knowledge teammates that support learning and guide employees through the flow of work.

• •Design agent-ready knowledge bases that allow AI agents to guide, explain, and teach employees
• •Structure enterprise knowledge so it can power AI-driven learning, coaching, and support across the organization
• •Turn existing content, including video and internal expertise, into interactive learning experiences powered by Agentic Agents