Manufacturing Intelligence: AI Integration in Pharmaceutical Lifecycle Management

In this inaugural episode of Manufacturing Intelligence—a biweekly, conversational series taking deep dives into all things digital technology in pharma manufacturing and development, Christopher Cole, associate editorial director at PharmTech, sits down with Richard Jaenisch, senior director of Education, Outreach, and Digital Experience at Open Biopharma, to explore the practical integration of AI within pharmaceutical manufacturing and development.

This discussion is specifically designed for industry professionals seeking to move beyond the hype and toward technical proficiency and begins with a foundational inquiry as Cole asks about the essential first step for professionals learning to use AI in their specific contexts. Jaenisch shares insights into the educational frameworks required to build internal expertise.

A core focus of the conversation is the necessity of human oversight. Cole poses critical questions regarding how to train professionals to critically evaluate AI outputs and how to determine if a system is operating within its competency or merely “hallucinating confidently.” Jaenisch further explores the pedagogy of limitation—teaching staff to recognize exactly when a model is incapable of answering a question.

Finally, the dialogue shifts to the regulatory environment, specifically an analysis of the EMA and FDA guiding principles for good AI practice throughout the drug lifecycle. Jaenisch evaluates the applicability of these principles and highlights the specific areas where current guidance may be missing key details. Click the video above to join a comprehensive roadmap for pharmaceutical professionals navigating the intersection of cutting-edge technology and rigorous regulatory standards.