AI in Pharma Manufacturing:Why Some Organizations Succeed Where Others Don't
A practical, real-world conversation on moving AI beyond pilots and into meaningful results
About This Webinar
AI is everywhere in pharma manufacturing conversations - but real, scalable impact is still rare.
Many pharma and biotech manufacturers are experimenting, piloting, and concepting AI across Mfg, IT, QA, RD, and even HR. Most only see qualitative results that don't scale beyond a single machine or processing area. And most large pharma organizations are still navigating early initiatives, unanswered questions around readiness, data volume, proprietary security, and trade secrets.
This 60-minute thought-leadership webinar brings together a research analyst with deep industry experience, real-world perspectives from a pharma manufacturer, and technology insight from experts with MES and product research backgrounds to explore where AI is truly delivering value today, why many initiatives stall, and why some organizations succeed where others don't.
"This session is not about AI features or demos. It's about real experience, practical lessons, and the organizational foundations required to turn AI into impact."
What You Will Learn
By attending, you will gain practical insights you can apply immediately
AI Value Today
A realistic view of where AI is delivering value today in pharma manufacturing
Why Initiatives Stall
Insight into why many AI initiatives stall after Proof of Concept, without blaming teams or individuals
Organizational Readiness
A practical understanding of the organizational setup, structure, and readiness required for AI success
Investment Considerations
Clear considerations leaders should weigh before investing further in AI initiatives
AI Value Today
Why Initiatives Stall
Organizational Readiness
Investment Considerations
A realistic view of where AI is delivering value today in pharma manufacturing
Insight into why many AI initiatives stall after Proof of Concept, without blaming teams or individuals
A practical understanding of the organizational setup, structure, and readiness required for AI success
Clear considerations leaders should weigh before investing further in AI initiatives
Agenda Highlights
What pharma manufacturers are trying to achieve with AI and why outcomes vary
Real-world examples of where AI is working today in manufacturing operations
Lessons from AI initiatives that stalled or failed to scale
Why Proof of Concept efforts often fall short and how to approach them differently
The organizational elements successful teams put in place before AI scales
Key questions leaders and teams should ask before investing in AI
Technology insights from the field on what accelerates and what slows AI adoption
Who Should Attend
This webinar is designed for leaders and practitioners across pharma manufacturing, including:
Manufacturing IT
Quality & Quality Systems
Operational Excellence
Digital Manufacturing & Automation
MSAT
Plant and Site Leadership
System Administrators
Product Owners
Business Process Leads
Whether you are just beginning to explore AI, running pilots, or trying to scale initiatives across sites, this session will meet you where you are.
Speakers
Julie Fraser
VP of Research for Operations
Tech-Clarity
Pharma Manufacturer
Speaker
To Be Announced
Kate Porter
Product & Research
POMS Corporation
Roland Esquivel
Moderator, VP of Marketing and Sales
POMS Corporation
Join the Conversation
If you are looking for clear, grounded insight — not AI hype — this webinar will help you better understand how organizations are approaching AI in regulated manufacturing environments and what it takes to move from experimentation to meaningful impact.