Despite rapid advances in large language models and agent frameworks, over 80% of AI initiatives fail to scale due to challenges around data, governance, and infrastructure …
For many executives, AI governance still sounds like a trade‑off. “Move fast, innovate, and accept risk”, or “Lock things down, stay compliant, and slow the business”.
Imagine revisiting a pivotal drug development program from five years ago—this time with AI copilots embedded across research, trials, and compliance.
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