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Why Attend?

For sponsors and CROs running clinical trials, agentic AI might be as scary as it is compelling. There’s no end to its potential to create efficiencies and improvements in i

That's changing quickly as two viable paths emerge for responsible AI in clinical trials: vendor-driven AI in a closed system, or user-led AI in an open, governance-enabled system.

In the vendor-driven approach, some clinical data platforms are building AI directly into their software, a prescriptive, easy-to-understand approach, but one that constrains your AI to the vendor’s system and development path. s use cases multiply across your organization and new AI models evolve at lightning pace, this constraint may ultimately limit how far your organization takes AI.

Alternatively, there's an open model in which a governance layer allows an organization's AI to safely interact with clinical data system, letting users and organizations dictate AI uses.

Walker Bradham, head of product and design for Zelta, explains both approaches, including an open approach Zelta has developed with a model context protocol connector that enforces enterprise compliance while enabling deep AI flexibility.

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Walker Bradham
Senior Director of Product Management & Design, Zelta

Walker Bradham is the Senior Director of Product Management & Design for Zelta, where he leads the strategy and evolution of a modern, cloud-based clinical data platform used by sponsors and CROs worldwide. With more than ten years of experience working on Zelta, he has been at the forefront of its transformation toward a more intelligent, scalable, and design-driven system for clinical trial execution.

His current focus is on applying AI in meaningful, responsible ways; accelerating study builds, improving data quality, and reducing operational burden without compromising compliance. Known for bridging technical innovation with real-world trial challenges, Walker brings a pragmatic perspective to how AI can be adopted today to create tangible value for clinical teams.

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