About

Pharma commercial teams increasingly need to make sense of fragmented signals across customers, markets, competitors, channels, and the wider healthcare ecosystem. This talk explores how governed data foundations and AI can turn that complexity into more reliable, actionable intelligence. Drawing on lessons from large-scale commercial data transformation at Roche, it will show why successful analytics and AI adoption depends not only on technology, but also on people, process, governance, and operating models. The session will then look ahead to agentic AI: systems that can reason across trusted data, identify knowledge gaps, use tools, verify sources, and build persistent intelligence over time. The central question is practical: how do we design AI systems that move beyond impressive demos and become dependable partners for commercial decision-making?

Key Takeaways:

• Learn how to transform fragmented commercial data into trusted, actionable intelligence
• Understand why strong data foundations and governance are essential for successful AI adoption
• Explore how agentic AI can support smarter commercial decision-making