
Revolutionizing Pharmaceutical Workflows: Digital CMC & GenAI Integration | Digital CMC Basecamp On-Demand | Basel, Switzerland | Presentation
How longstanding challenges are holding back AI deployment in the CMC lifecycle
How increasing CMC complexity is driving the need for workflow innovation
How emerging technologies like Generative AI could reshape key drug development processes
How innovators can secure budget and buy-in for transformation initiatives
It's the technology sweeping every industry. But how will it impact the CMC lifecycle?
In little more than a year, no market has gone untouched by the revolutionary potential of generative AI. At Basecamp Basel, we brought together a team a Digital CMC specialists to talk about how LLMs could transform CMC workflows—and how drug developers can prepare to successfully adopt this rapidly evolving technology.
Moderator Jeremy Ward, Managing Director at Accenture, drives a deep-dive discussion of GenAI's promise and challenges for CMC programs:
- Fran Leira, Global Head of Process Engineering CoE at CSL Behring, shares insights from his experience implementing AI use cases at the world's largest blood products company.
- Chris McCurdy, Chief Architect of Healthcare and Life Sciences at AWS, discusses the potential of generative AI in areas like data enrichment, semantic understanding, knowledge extraction, and automating document generation.
- James Maxwell, Life Sciences Innovation Lead at Accenture, highlights the importance of understanding end users and fostering cross-functional collaboration on the path to AI deployment.
- Joschka Buyel, Director of Product Management at QbDVision, looks closer at the technical literacy and standardization needed to effectively leverage LLMs in drug development.
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