AI DevSummit 2025 + DeveloperWeek Leadership 2025

Nalini Garg, Deloitte, Senior Manager

As artificial intelligence (AI) rapidly transforms the landscape of clinical trials, the need for responsible implementation has never been more critical. This session will explore how AI can be harnessed to enhance clinical trial design, patient recruitment, data analysis, and outcome prediction, while ensuring ethical considerations are front and center.

We'll delve into the potential of AI to streamline trial processes, reduce costs, and accelerate the development of new therapies. However, with great power comes great responsibility. We'll discuss the challenges of bias, data privacy, transparency, and regulatory compliance, and how to address them to build trust in AI-driven methodologies.

Join us as we navigate the delicate balance between innovation and ethics, and discover best practices for integrating AI into clinical trials in a way that enhances accuracy, efficiency, and fairness. Whether you're a researcher, clinician, or industry professional, this session will provide valuable insights into the responsible advancement of AI in clinical trials, ensuring that technological progress benefits both science and society.

Rob Whiteley, Coder, CEO

With great power comes great responsibility—and yes, coding agents can backfire if they’re not thoughtfully deployed. Instead of boosting productivity, they can frustrate developers, slow down progress, and even diminish your competitive edge.

Join Coder CEO, Rob Whiteley, as he unpacks three essential strategies organizations should embrace when scaling agentic coding agents enterprise-wide. Drawing from firsthand lessons and internal experiments—where agents effectively resolved nearly half the tasks we threw at them—we’ll share real-world scenarios showcasing engineering work AI agents excelled at. We’ll also highlight where they fell short, detailing what went wrong and what we’d do
differently next time.

You’ll walk away understanding:

* How realistic expectations ensure AI boosts rather than hinders productivity.
* Why effective human-agent collaboration is critical for developer satisfaction and innovation.
* How clear governance frameworks can prevent technical debt and keep productivity flowing.

Learn from our experiences and ensure your organization’s deployment of AI coding agents empowers your developers, ignites innovation, and solidifies your market leadership.

Nalini Garg, Deloitte, Senior Manager

As artificial intelligence (AI) rapidly transforms the landscape of clinical trials, the need for responsible implementation has never been more critical. This session will explore how AI can be harnessed to enhance clinical trial design, patient recruitment, data analysis, and outcome prediction, while ensuring ethical considerations are front and center.

We'll delve into the potential of AI to streamline trial processes, reduce costs, and accelerate the development of new therapies. However, with great power comes great responsibility. We'll discuss the challenges of bias, data privacy, transparency, and regulatory compliance, and how to address them to build trust in AI-driven methodologies.

Join us as we navigate the delicate balance between innovation and ethics, and discover best practices for integrating AI into clinical trials in a way that enhances accuracy, efficiency, and fairness. Whether you're a researcher, clinician, or industry professional, this session will provide valuable insights into the responsible advancement of AI in clinical trials, ensuring that technological progress benefits both science and society.

Rob Whiteley, Coder, CEO

With great power comes great responsibility—and yes, coding agents can backfire if they’re not thoughtfully deployed. Instead of boosting productivity, they can frustrate developers, slow down progress, and even diminish your competitive edge.

Join Coder CEO, Rob Whiteley, as he unpacks three essential strategies organizations should embrace when scaling agentic coding agents enterprise-wide. Drawing from firsthand lessons and internal experiments—where agents effectively resolved nearly half the tasks we threw at them—we’ll share real-world scenarios showcasing engineering work AI agents excelled at. We’ll also highlight where they fell short, detailing what went wrong and what we’d do
differently next time.

You’ll walk away understanding:

* How realistic expectations ensure AI boosts rather than hinders productivity.
* Why effective human-agent collaboration is critical for developer satisfaction and innovation.
* How clear governance frameworks can prevent technical debt and keep productivity flowing.

Learn from our experiences and ensure your organization’s deployment of AI coding agents empowers your developers, ignites innovation, and solidifies your market leadership.