The evolving AI landscape in life sciences in 2026: AI-ready data, agents, and semantic technologies

Discover how industry leaders are building the data foundations required to unlock agentic workflows, knowledge graph-powered reasoning, and responsible AI at scale across pharmaceutical research, biomedical informatics, and drug development.

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Perspectives on AI, LLMs, and semantic technologies in the life sciences industry group

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Moderator and panelists

Sabya Dasgupta

Panelist

Global Head (VP) of R&D

Data Platforms and Products

Sanofi

Victor Neduva

Panelist
Head of Target Discovery & Disease Data, pRED, D&A
Roche

Sébastien Lefebvre

Panelist

Data Science and Technology Executive -BioPharma, Healthcare, Ag Biotech

Aurelis Inisghts, Prudentia Sciences

David Perez del Rey

Panelist

Professor of AI at Universidad Politécnica de Madrid; Director of the TriNetX - UPM Data Integration Partnership

Lieven Poelman

Panelist

Vice President R&D

ONTOFORCE

Brecht Claerhout

Moderator
Chief Executive Officer

ONTOFORCE

This online panel discussion explores the current state and near-term future of AI-ready data, agentic AI, and semantic technologies in the life sciences domain. As LLMs evolve from assistants to autonomous agents, communicating through emerging standards like MCP (Model Context Protocol), the quality and structure of underlying data has never mattered more.

Who should watch?

Senior profiles in research and IT, along with others that are interested in advancing data, AI, and new technologies in life sciences, pharma, and biotech organizations.