Putting Knowledge Experts at the Center of AI
Learn why AI makes knowledge managers and subject matter experts more important, and how an AI data model, digital twins, and continuous quality checks make enterprise knowledge AI-ready.
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What You’ll Learn
- Why the knowledge management role is changing, and why AI is now a new consumer of your knowledge alongside employees and customers
- The three pillars of AI-ready knowledge: structure optimized for AI, business context, and ongoing quality assurance
- How an AI data model and ontology-driven digital twins let subject matter experts encode their expertise and business logic so AI finds the right answer
- How Sentinel monitors for duplicates, outdated content, and contradictions, and how KM teams can earn a seat at the table with a focused pilot
“The role of the knowledge manager, the role of the subject matter expert, is owning the ontology and encoding the expertise they have within a model that AI can access. “
See why AI needs your knowledge experts.
Hear Jan from Shelf explain how knowledge managers and subject matter experts can own the AI data model, keep knowledge accurate, and earn a seat at the table in their organization’s AI program.
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