As pharmaceutical organizations increasingly integrate artificial intelligence into discovery, development, and manufacturing, the structure and governance of these systems become critical to their scientific and operational value. Enterprise-scale AI introduces new models of data integration, decision-making, and collaboration that extend beyond isolated computational tools.
This whitepaper examines the evolution of AI within pharmaceutical development, with a focus on large-scale computational infrastructure, integrated AI systems, and their role in transforming scientific workflows. The discussion explores how enterprise AI environments, such as the emerging AI factory model, are reshaping discovery, development, and manufacturing across the life sciences sector.
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