LinkedIn·Wednesday, 22 July 2026·22 Jul 2026
The life sciences industry keeps talking about "AI-ready data." But have we agreed on a definition for the term? Some mean clean data. Some…
ONTOFORCE
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The life sciences industry keeps talking about "AI-ready data." But have we agreed on a definition for the term?
Some mean clean data. Some mean data a model was trained on. That ambiguity might be why so many agentic AI projects stall.
In our latest blog, we work through what AI-ready data actually means in practice:
✅ Why clean data isn't the same as AI-ready data
✅ What data needs beyond quality
✅ How the FAIR principles are being pushed to their limit by agentic AI
✅ And what life sciences teams should fix first
💡 Featuring perspectives shared by data and AI leaders from Sanofi and Roche during our recent panel on the evolving AI landscape in life sciences.
Read the full post: https://lnkd.in/eR-2gxMK
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