Overview
The online event for Bio & Pharma contract manufacturer outsourcing
Expert talks
Learn from the industry leaders and experts who will share their insights and experiences on how to accelerate, de-carbonise and optimise your drug development and manufacturing processes.
Interative Roundtables
Join the interactive workshops to take part in discussions and exchange ideas with peers on the most pressing issues and topics in the CDMO sector.
Partner match
1 to 1 meeting programme curated to connect Bio/Pharma outsourcing professionals with a global network of CDMO partners who can offer tailored solutions for your specific needs and challenges.
Agenda
Pragmatic AI in Manufacturing
In this dynamic roundtable, we delve into the intersection of artificial intelligence (AI) and pharmaceutical manufacturing.
Our focus is on practical applications, enabling participants to gain actionable insights and best practices.
We’ll explore how AI is revolutionizing the industry, optimizing processes, and ensuring
compliance with Good Manufacturing Practices (GMP) – and how the latest available technology can be a key enabler in unlocking powerful partnerships between CDMOs and sponsor organizations.
Join this roundtable to
1. Understand the role of AI in enhancing pharmaceutical manufacturing efficiency.
2. Explore real-world case studies where AI-driven solutions have made a significant impact.
3. Learn how to integrate AI technologies seamlessly into existing manufacturing workflows.
Introduction by Aizon
Aizon will kick off the session by sharing a compelling case study from AI solutions deployed at leading CDMO manufacturers.
Drawing from their extensive experience, they’ll provide valuable insights into AI implementation within pharmaceutical production.
Key Questions for Discussion
1. How can AI-driven predictive analytics improve batch quality and yield?
2. In which scenarios (molecule type, manufacturing area, data availability, etc.) has AI proven most useful?
3. What challenges arise when integrating AI into GMP-compliant processes?
4. How do we address data privacy concerns while leveraging AI in manufacturing?
5. How can CDMOs and sponsors collaborate to create a win-win scenario with AI?
