Pharma supply chains are under growing strain as geopolitical instability, regulatory requirements, and demand volatility expose the limits of traditional planning models. Organizations are being asked to localize production, increase transparency, and reduce risk—often simultaneously.

This webinar examines how pharma leaders are using data, AI, and advanced analytics to transition from fragile, siloed supply chains to resilient, end‑to‑end networks. The discussion will focus on how visibility, scenario modeling, and integrated business planning decision‑making can help organizations respond proactively rather than reactively to disruption.

Attendees will explore how AI‑driven forecasting, inventory optimization, and network modeling are enabling better planning across suppliers, manufacturing sites, and distribution channels. The speakers will highlight how digital twins and real‑time data are being used to simulate disruptions, test mitigation strategies, and improve responsiveness—while maintaining regulatory compliance and product integrity.

They will also address the organizational and governance considerations critical to success, including data standardization, cross‑functional alignment, and regulatory expectations for traceability and auditability. Rather than treating resilience as a one‑time initiative, viewers will learn how pharma companies are operationalizing resilience as a core supply chain capability.

The session is designed for leaders responsible for ensuring continuity, compliance, and cost efficiency across increasingly complex global supply networks.

This webinar is part of 4-part series:

Part 1 (June 2, 2026) – Archive available
Learn how AI-enabled pharma manufacturing supports more resilient operations without compromising quality or compliance

Part 2 (June 15, 2026) – Archive available (current page)
AI-driven Rapid Response In Supply Chains With Lower Cost To Serve

Part 3 (June 22, 2026) – Archive available
Connect Commercial Models to Improve Decision-Making in the Pharma AI Era

Part 4 (June 30, 2026) – Upcoming webinar
Build AI-Ready Pharma R&D to Accelerate Drug Development

Keywords:

Speakers

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

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.

Message Presenter

Rohit Bhutani, Head of Supply Chain Suite, C3 AI

Rohit Bhutani is an enterprise AI and supply chain product leader with 15+ years of experience building intelligent planning, forecasting, and decision platforms at scale. He currently leads the Supply Chain Product Suite at C3 AI, where he engages with pharma and other industrial customers to deploy AI-powered supply chain solutions that improve planning decisions, operational visibility, and business outcomes. His work spans AI transformation strategy, enterprise product platforms, and the practical adoption of agentic AI for complex global operations. Previously, Rohit led major AI, supply chain, and data product initiatives at Walmart Global Tech, including enterprise decision intelligence, demand forecasting, and fulfillment optimization. Earlier in his career, he worked at Michelin, building a strong foundation in industrial systems, manufacturing operations, and process excellence.

Message Presenter

Who Should Attend?

This webinar will appeal to:

Supply Chain and Logistics Leaders
Operations and Planning Executives
Procurement and Network Strategy teams
Regulatory and Quality Stakeholders involved in Supply Continuity

What You Will Learn

Attendees will gain insights into:

How AI improves visibility and risk management across pharma supply chains
Practical approaches to scenario planning and disruption modeling
Balancing resilience, cost and compliance
Building a foundation for end‑to‑end supply chain trust

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.