According to Deloitte, only 22% of life sciences leaders say they have successfully scaled AI, and just 9% report achieving significant returns. For materiovigilance, this highlights the growing gap between execution and team expectations. Within this gap, fragmented data and manual processes continue to slow response times and increase compliance risk, creating a disconnect between the promise of real-time safety monitoring and operational reality. How can organizations close this execution gap and evolve materiovigilance from a reactive compliance function into a proactive, data-driven discipline?

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