AI in Life Sciences: What the Industry Is Really Saying

AI is quickly moving from experimentation to real-world impact in life sciences quality, but many organizations are still working through the same critical questions: where does AI create measurable value, what risks must be managed, and what does it take to move from pilots to trusted, production-scale adoption?

This webinar brings together new industry research from Axendia, based on input from 194 life science professionals, and a practical perspective from ComplianceQuest on how AI is reshaping quality management. Attendees will learn where pharma, biotech, and medical device organizations stand on AI adoption, the barriers slowing progress, and the high-impact use cases helping quality teams move from reactive quality management to more predictive, intelligence-driven operations.

Key Takeaways

• Where life sciences organizations stand on AI adoption and what separates experimentation from scalable impact
• The highest-impact AI use cases for quality management, grounded in data from 190+ practitioners
• What it takes to deploy AI responsibly in regulated quality environments, including connected data, traceability, and human oversight
• How quality teams can shift from reactive quality management to more predictive, intelligence-driven operations

Who Should Attend

• Quality leaders, Directors and VPs of Quality
• Heads of Regulatory Affairs and Compliance
• Operations leaders in pharma, biotech, and medical device organizations
• AI & IT leaders