AI Walks Into A Room Of Data Managers. Who's The Boss Now?

This session takes a creative, thought-provoking look at one of the biggest questions facing clinical research today: as agentic AI becomes more capable, what happens to the role of the data manager? Through a live skit set in 2026 and 2030, experts from Pfizer and Boehringer Ingelheim explore how AI agents could transform clinical data management from a reactive, query-driven function into a proactive, insight-driven discipline.

The discussion follows a data manager overwhelmed by fragmented systems, manual data cleaning, and endless reconciliation tasks. Fast forward a few years, and AI supervisor agents, data quality monitors, and risk prediction tools work together to identify emerging issues, connect data across systems, and surface actionable insights before problems escalate. Rather than replacing human expertise, these technologies are positioned as collaborators that reduce administrative burden and enable teams to focus on critical decision-making.

Alongside the vision for the future, attendees gain practical insight into agentic AI, supervisor and specialized agents, workflow orchestration, validation challenges, and the evolving skill sets required in clinical data management. The result is an engaging exploration of how people and AI can work together to improve trial quality, efficiency, and oversight.