Overview:

The future of clinical development will be defined not only by technological breakthroughs but by how teams rethink the way they work. As trials generate unprecedented data volume, velocity, and complexity, organisations are being challenged to evolve; shifting from manual, reactive processes to AI-enabled, insight-driven decision-making.

Whether you’re early in your journey or well-established in your approach, we’ll explore how AI is reshaping study operations, accelerating timelines, improving data quality, and strengthening cross-functional alignment between sponsors, CROs, and technology partners.

Rather than focusing on AI as a distant ideal, this discussion will uncover what it really takes to operationalise it: new oversight models, new ways of working, cultural transformation, strategic leadership, and the confidence to adopt human-in-the-loop systems responsibly.

Together, we will examine how organisations can build a more connected, transparent, and analytics-driven clinical environment. One where teams make faster decisions, reduce duplication, and unlock meaningful insights earlier in development.

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Topics of Discussion:

1. What challenges are you currently facing when it comes to AI in clinical data work?

2. As AI becomes more involved in data review, what helps you feel confident in the decisions your teams make?

3. What would better collaboration between sponsors and CROs look like in your day-to-day work?

4. What would it take for your teams to move from reacting to data to really getting ahead of it?

5. As roles evolve, what kind of support - from mentors, peers, or leaders - helps you show up with confidence in this new AI-enabled environment

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