Validated AI Conference Half Day
Join us for a free half-day conference focused on validating AI in regulated environments. Request an invite to attend in person in Cambridge or join virtually from anywhere. You'll learn how leading teams are integrating AI into products and development processes without sacrificing compliance or speed through expert-led sessions and candid peer discussions. Hear from experts, connect with peers, and be part of a community working to bring safe, effective AI to patients faster.
Agenda
Check in and connect with fellow attendees.
Doctors are diagnosing with AI, autonomous vehicles are navigating city streets, and labs are compressing months of experiments into days. This isn't a vision of where things are headed. This transition is happening right now, all over the world. This session explains what validated AI is making possible, and how to take a risk-based approach to building safety-critical AI systems.
The question is no longer whether to adopt AI. It's how companies are putting it to work in practice. This session explores how life sciences organizations are deploying AI across imaging, patient monitoring, clinical development, and commercial functions, what's driving adoption, and what it takes to operationalize these initiatives at scale.
AI coding tools like Claude Code and Cursor are already in your engineers' hands. This session covers what changes when AI is writing production code and hardware in a regulated environment: how code review practices need to evolve, where CI/CD needs guardrails, and how quality teams need to operate when the way software gets built has fundamentally changed.
What does it mean to build AI for a safety-critical environment, and how do you actually do it? Validate too little and you risk missing a failure mode that harms a patient. Validate the wrong things and you delay a product that could help thousands. This session shows how governance, requirements management, and V&V work together in practice, using intended use as the variable that defines what safe actually means.
AI is managing batch records, flagging deviations, and monitoring processes in real time. This session explains what AI actually looks like inside GxP operations right now, what it takes to get there, and what the industry can learn from organizations that have already made the leap from concept to compliant deployment.
Whether it's compliant handling, change impact assessment, or regulatory document generation, the gap between proof of concept and production is familiar to anyone trying to accelerate AI adoption in their organization. This session offers advice to close that gap, showing what it takes to build coalitions, make the case, and create the conditions where AI becomes how work gets done.
Wind down with drinks, bites, and meaningful conversations.