The real challenge isn’t what AI can do, it’s how to scale it, operationalize it, and bring teams along. Too often, AI lives in isolated or siloed initiatives, disconnected from the day-to-day realities of brand strategy and execution. Meanwhile, expectations are rising – for personalization, insight generation, and measurable impact – all within a highly regulated, data-sensitive environment.

This session bridges the gap between ambition and execution. Grounded in real-world examples of AI adoption from pharmaceutical companies at different stages of adoption, the discussion will explore how AI is being embedded into core commercialization workflows – while navigating the critical considerations of data privacy, compliance, and governance.