Bruno Fievet | Team Lead, Data & Architecture
Zifo
Bruno Fievet is a Data Architecture and Knowledge Graph specialist with over 15 years of experience at the intersection of biomedical science, data management, and AI. As Team Lead at Zifo, he works with leading pharmaceutical organisations to design AI-ready data ecosystems built on FAIR principles, semantic technologies, and governance frameworks.
His work focuses on a key challenge facing life sciences today: how to evolve from data that is merely accessible and reusable to knowledge that is understandable, explainable, and actionable by AI systems and autonomous agents. Through ontology-driven data models and knowledge graph architectures, he helps organisations prepare for the future of Agentic Science and AI-enabled research.
Appearances:
BioTechX EU Day 3 @ 11:30
From FAIR Data to Agentic Science: What Happens When Data Gets an Agent?
AI is reshaping scientific research, but success depends on more than access to data. While FAIR principles have improved data sharing and reuse, AI and autonomous agents require data that is contextualised, interpretable, trusted, and actionable.In this session, Bruno Fievet explores the evolution from FAIR data to AI-ready and agent-executable knowledge. He examines the additional foundations needed to support trusted AI, scientific agents, and explainable decision-making at scale, including semantics, governance, processes, and knowledge representation.Attendees will gain a practical perspective on how life sciences organisations can prepare their data ecosystems for the next generation of AI-driven and agent-enabled scientific discovery.
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