About the Webinar

Clinical trials produce a constant flow of data from patients, sites, labs, devices and operational systems. Dashboards have improved visibility, but teams still struggle to see which signals matter, who should act, and when to step in while there’s still time to change the outcome.

Join us to explore the AI-powered Clinical Data Control Tower. It is a connected decision layer that pulls fragmented trial signals together, applies risk-based intelligence, and focuses attention on the decisions that matter most. Our presenters will cover three areas: the strategic shift from data review to directed intelligence, the technology that connects clinical systems through APIs, risk-based quality management and AI, and the evolution of Data Managers into “Data Pilots.”

What you’ll learn:

• Framework design: How to build a control tower layer that brings eSource, labs and EDC into a single command center.
• Predictive intervention: How to use predictive analytics to head off data quality issues before they happen, such as site-level non-compliance.
• Role evolution: The skills Data Pilots need to manage AI agents and complex data streams, and a practical path from AI-assisted recommendations to greater autonomy, with human oversight matched to risk.

Featured Speakers