Putting AI to Work in Drug Development: Practical Applications That Deliver Measurable Value

Artificial intelligence is generating tremendous interest across pharmaceutical development, but successful implementation depends on more than adopting AI tools. It requires embedding AI into the operational workflows that improve quality, accelerate decision making, and strengthen execution.

This presentation will highlight practical applications of AI across drug development and manufacturing, from technology transfer and predictive formulation modeling to quality operations and manufacturing. Drawing on real-world examples from a global CDMO, attendees will see how AI is being used to accelerate technology transfer, improve early formulation decisions, streamline deviation investigations, enhance manufacturing performance, and strengthen automated visual inspection.

Together, these examples demonstrate how targeted AI applications can improve quality, speed, and predictability while complementing scientific expertise and established quality processes in regulated environments.