AI: The End of Manual Study Build

Tue, May 12, 2026 11:00 AM EDT (8:30 PM Asia/Calcutta)

Event Overview

This webinar explores how this technological leap is fundamentally redefining the role of the CDM and moving past the era of the “day-to-day builder” and entering the era of the strategic quality steward. This session will provide a deep dive into how AI-powered workflows are reshaping the way studies are designed, reviewed and launched, setting a new industry benchmark for trial readiness.

Whether you are looking to slash build-to-launch timelines or seeking to elevate your team’s impact, this session will move beyond the AI hype to provide a practical roadmap for implementation. The session will discuss the measurable value this transformation brings to sponsors, CROs and sites, from airtight standardization to radical efficiency gains.

Key Learning Objectives

• How AI agents are solving the technical complexity of modern study builds and eliminating manual bottlenecks.
• Why strategic oversight and governance is the new standard for the modern data manager.
• How AI-driven builds reduce rework, boost compliance and raise expectations across the global clinical landscape.
• Practical strategies for implementation, from establishing new governance models to managing the human side of digital transformation.

Who Should Attend:

This webinar is designed for leaders and practitioners who are navigating the evolution of clinical trial EDC study build. It is particularly relevant for:

• Heads and Directors of: Clinical Operations, Data Management, Clinical Programming, Data Science, and Clinical IT.
• Strategic Leads: CIOs, CTOs, and Heads of Clinical Analytics.
• Study Builders & Data Managers: Professionals currently managing manual builds who are ready to transition into the role of strategic quality stewards.
• Operational Managers: Senior Managers and above responsible for clinical operations, data management, and digital transformation.

Whether you are overseeing a global portfolio or are on the front lines of study building and data management, this session provides the roadmap to move from manual execution to AI-driven oversight.

Featured Speaker:

Marco Amorim has spent the better part of the last two decades working in Medidata’s Professional Services organization. While he has held numerous roles over the years, there was only one mission: helping clients and partners extract the most value from Medidata’s tools. Over the past three years, Amorim has taken this extensive experience over to the product team to use the learnings, successes, failures and everything in between to help develop new study conduct capabilities.

Speaker's Email: Marco.amorim@3ds.com
Speaker's LinkedIn: https://www.linkedin.com/in/marco-amorim-171758/

For any technical questions please contact Erin Maiorino emaiorino@mjhlifesciences.com