LinkedIn·Thursday, 6 August 2026·20d ago
Most AI deployments in life sciences aren't agentic. They're just faster versions of the same workflow. Lieven Poelman, VP R&D at…
ONTOFORCE
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Most AI deployments in life sciences aren't agentic. They're just faster versions of the same workflow.
Lieven Poelman, VP R&D at ONTOFORCE, breaks down why: the data layer inside most pharma organizations isn't built for horizontal connectivity. Every silo has its own semantic model, its own ontology, but nothing connects them as one coherent layer.
Without that connectivity, you're not building agentic AI. You're building something that does the existing work just a bit faster.
➡️ More from ONTOFORCE's panel with Roche, Sanofi, and others on why agentic AI in life sciences keeps stalling at the data layer: https://lnkd.in/e9WREWKH
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