Advances in extreme ultraviolet lithography have unlocked the computational power needed to produce chips and GPUs capable of training and deploying GenAI models that are reshaping the way we work and interact with technology. These breakthroughs have been both frightening and inspiring for the manufacturing industry. The ability of these models to process massive amounts of data and deliver insights in ways humans can easily interpret is truly remarkable. Yet, because AI has not been part of foundational education curricula, widespread misunderstandings persist—even among technically skilled professionals outside the AI field. Market pressures to include “AI” in products and business strategies are also creating significant pressure on executive teams to invest in AI applications without a clear understanding of potential use cases, implementation requirements, or expected return on investment. In this webinar, I will explore key considerations for integrating various forms of AI—not just GenAI—across the pharmaceutical value chain, with a particular focus on manufacturing and quality. My goal is to provide executives and managers with actionable insights to define realistic strategic objectives, achieve measurable ROI, and avoid common pitfalls in AI adoption.

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15:00 - 16:00 hs GMT+1

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BioPharmaWebinars
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