Optimize Yield and Compliance With AI-Enabled Pharma Manufacturing

Pharma manufacturing organizations are navigating a period of unprecedented complexity. Increasing regulatory scrutiny, cost pressures, supply disruptions and aging infrastructure are colliding with the need for greater flexibility and speed. In this environment, traditional reactive manufacturing models are no longer sufficient.

This webinar explores how pharma manufacturers are shifting toward AI‑enabled, data‑driven operating models that improve resilience while maintaining strict compliance with GxP and quality requirements. Rather than focusing on technology alone, Microsoft & NVIDIA will examine how organizations are re‑thinking manufacturing workflows, data foundations and quality processes to enable predictive, audit‑ready operations.

Attendees will learn how digital twins, advanced analytics and intelligent automation are being applied across shop‑floor operations, quality management and maintenance planning. The session will highlight how leading manufacturers are using AI to anticipate deviations, improve yields and reduce downtime, while ensuring transparency and traceability for regulators.

The webinar will also address common challenges, including fragmented manufacturing data, legacy systems and the risk of introducing AI without appropriate governance. The discussion will emphasize practical strategies for embedding compliance into AI‑driven workflows, aligning IT and OT systems and creating a scalable foundation for future smart factory initiatives. This session will also provide a grounded, industry‑focused perspective on how AI can support safer, more resilient pharma manufacturing.

Register to learn how AI-enabled pharma manufacturing supports more resilient operations without compromising quality or compliance. This webinar is part of 4-part series.

Speakers

Yury Yohana Gomez, Global Head, AI Transformation, Manufacturing, Mobility and Life Sciences, Microsoft

Yury Yohana Gomez is a global AI transformation leader redefining how manufacturing and industrial enterprises create value at scale. With more than two decades of experience across manufacturing, life sciences, healthcare, and consumer goods, she brings a rare combination of elevated business acumen and deep technology insight into some of the world’s most complex challenges. Currently leading global commercial and industry strategy for manufacturing, innovation and supply chain at Microsoft, Yury advises Fortune 500 organizations on how to unlock growth, resilience, and sustainability through AI‑driven transformation.

Her multi-decade career spans corporate strategy, product innovation, go‑to‑market execution, and large‑scale operational transformation. Yury’s mission is clear: to unify product, technology, and leadership to transform how industries design, build, and deliver solutions that address society’s most pressing needs. She is particularly passionate about the responsible adoption of frontier technologies—AI, agentic AI, physical AI, and emerging paradigms such as quantum—to shape a more inclusive and sustainable future.

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Stacie Calad-Thomson, Global Business Development Lead, Pharma Labs and Manufacturing at NVIDIA

Stacie Calad‑Thomson, PhD is Global Business Development Lead for Pharma Labs and Manufacturing at NVIDIA, where she focuses on accelerating the adoption of AI across biopharma R&D and advanced manufacturing. She brings more than a decade of experience in pharmaceutical research, strategy, and transformation, with deep expertise in applying machine learning to drug discovery and laboratory automation.

Prior to NVIDIA, Stacie held senior scientific, strategy, and business development roles in pharma and biotech, where she helped drive early AI initiatives in drug discovery. She is also a leader within the Alliance for Artificial Intelligence in Healthcare (AAIH), contributing to industry collaboration on responsible AI, data privacy, and policy frameworks. Stacie frequently speaks and writes on the future of AI‑enabled science and healthcare innovation.

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