Jonathan will dive into the pivotal role of generative AI for the future of R&D and clinical operations, focusing on:

-       Building safe spaces for regulated clinical environments to enable innovation and experimentation.

-       Implementing a rollout strategy integrated with backend tools to support solutions without compromising security.

-       Leveraging GenAI for edge AI applications, data access optimization, and time/cost-saving measures in clinical operations.

AI is reshaping the landscape of research and development (R&D), accelerating discovery, and driving innovation.

-       Implementing AI-driven research tools and platforms to enhance experimentation, data analysis, and hypothesis testing.

-       Fostering interdisciplinary collaboration between scientists, engineers, and AI specialists to maximize R&D potential.

-       Embracing AI-powered automation to streamline experimentation processes, reduce costs, and expedite product development cycles.