What Pharma Needs Next

Michael Hamann and Andreas Gerloff join Christoph Bug to examine key enablers of medical impact. Discover how MSD and Daiichi Sankyo Europe use AI to analyze MSL insights, personalize education, and measure relationship trust across an evolving healthcare ecosystem to improve patient outcomes.

In this episode, Stefan Schmidt and Florian Schnappauf discuss key technology shifts from Cloud to AI, and the accelerated pace of commercial innovation. Explore how Bayer is moving from a system of record to a system of insights with Vault CRM and a connected, unified data infrastructure, powered by Veeva Data Cloud. Schmidt emphasizes the importance of data quality and harmonization for AI success and envisions a future where AI removes administrative burdens to allow field teams to focus on valuable customer interactions.

In this episode, Kieron Scrutton joins Florian Schnappauf to discuss architecting an AI-ready enterprise to achieve commercial efficiency at scale. Discover why prioritizing speed and a zero-disruption allowed GSK to move quickly to a next-generation platform with AI embedded to support its ambition of impacting 2.5 billion patients by 2030. Kieron shares how to identify high-value business processes for AI investment and the importance of role-specific training and data-driven decisions.

What happens when medical and commercial teams truly align? Stronger launches, a smoother HCP experience, and better patient outcomes. In this episode, Christoph Bug speaks with Pascal Vande Gucht of UCB and Georgios Tramountanis of Takeda about breaking down silos and creating unified, cross-functional strategies. They explore how visibility, shared messaging, and thoughtful change management fuel collaboration–and how tools like GenAI and data platforms are driving the next wave of transformation.

How does great content become memorable customer experiences in life sciences? Erica Taylor and Oz Demir of Genentech share their recent experiences of spearheading marketing transformation, including success factors as you get started and how to think about behavioral change. They explain the novel ways their teams are using data and automation to deliver on business goals to quickly scale personalized content for customers.