Onsite Event
Quantyca attended the Knowledge Graph Conference, an event held in New York focused on knowledge graphs and related technologies such as graph neural networks, natural language processing, graph data science, Large Language Models (LLMs), and much more.
On May 8th, our Co-Founder Francesco Gianferrari Pini took the stage with his talk “AI Governance: Leverage Knowledge Graphs to Govern Your Agentic Knowledge System.”
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:
Slide
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