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What sets AI leaders apart in life sciences? They don’t just focus on what they build. They think just as much about how they scale it.
Scaling AI in life sciences takes more than technical prowess. Most companies recognize the importance of strong data foundations. But the innovators pull ahead by treating behavioral capabilities, like vision setting and building intuitive user experiences, as equally important to their AI programs.
In pharma and medtech, AI efforts rarely stall because of model performance alone. Rather, they stall when companies underestimate what’s required to scale or lose sight of the human element. Scaling leaders are setting a clear AI mandate, continuously improving development operations, and embedding AI into day-to-day work. And they deeply consider their human talent and the trust required for adoption.
From Silos to Pods: Scaling AI in Life Sciences
Cross-functional collaboration is the real differentiator between those that see meaningful returns and those that don’t.
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First published in gennaio 2026