AI Governance: Leverage Knowledge Graphs to Govern your Agentic Knowledge System
KGC 2025
•
1h 50m
Francesco Gianferrari Pini, Quantyca, Founder
As artificial intelligence evolves, designing and orchestrating intelligent agents has become key to creating efficient systems. From basic tools performing singular tasks to autonomous agents capable of complex, iterative decision-making, AI agents present unique challenges and opportunities. It is crucial to establish the necessary components for governing the creation and interactions of these agents, both with each other and with existing business tools.
Knowledge graphs provide a robust foundation for managing agentic knowledge systems. By structuring and harmonizing knowledge, and enabling reasoning through ontologies and rules, they allow organizations to contextualize their domain and control what knowledge is shared with AI ecosystems. This approach not only boosts agent performance but also ensures compliance in managing the data, logic, and workflows that power them.
In this talk, we’ll explore:
Types of AI Agents: From simple task-oriented tools to autonomous decision-makers, and how each type can leverage different parts of an Enterprise Knowledge Graph.
Knowledge Graph integration: The possibilities of materializing a knowledge graph and making it available to agents, focusing on both effectiveness and performance.
Interoperability with your data: How agents and knowledge graphs can integrate with modern data platforms and vice versa.
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