Optimize Yield and Compliance With AI-Enabled Pharma Manufacturing

Biotech, Drug Discovery & Development, Life Science, Pharma, Pharma Manufacturing & Supply Chain, Pharmaceutical Regulation,
  • Tuesday, June 02, 2026 | 11:30am EDT (NA) / 4:30pm BST (UK) / 5:30pm CEST (EU-Central)
  • 60 min

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, the featured speaker 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.

Speaker

Yury Yohana Gomez, Process Manufacturing and Supply Chain Lead, Microsoft

Yury Gomez is a Director of Business Strategy at Microsoft, where she leads AI commercial strategy and sales enablement across manufacturing‑led industries including Life Sciences, Process Manufacturing, Mobility and Consumer Packaged Goods. She specializes in helping organizations translate data and AI innovation into real‑world business impact across complex, regulated environments. Yury works closely with industry, sales and product leaders to shape go‑to‑market strategy, accelerate AI adoption and drive measurable outcomes across operations, supply chains and commercial functions. Her work focuses on turning intelligent insights into governed, scalable execution.

Message Presenter

Who Should Attend?

This webinar will appeal to:

  • Manufacturing and Operations leaders
  • Quality and Validation professionals
  • Digital Manufacturing and Smart Factory leads
  • Pharma executives modernizing production operations

What You Will Learn

Attendees will learn:

  • How AI and digital twins support predictive, compliant manufacturing
  • Strategies to reduce downtime and variability through data‑driven insights
  • Approaches to embed quality and regulatory trust into AI workflows
  • Lessons learned from early smart manufacturing initiatives

Xtalks Partner

Microsoft

Microsoft empowers regulated industries to accelerate innovation, help support compliance, and build resilient operations. With trusted cloud platforms, advanced AI, and a global partner ecosystem, Microsoft helps pharma organizations unify data, streamline workflows, and deliver better outcomes for patients and providers.

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