Implement AI in Core R&D Processes to Increase Operational Efficiency

AI promises transformative value across pharmaceutical R&D, from modeling therapeutics to enhancing finance, operations, and compliance. Yet it’s far from a plug-and-play solution. Fragmented data, biological complexity, and regulatory constraints demand a more nuanced, trust-driven approach where AI supports, rather than replaces, human expertise.
Join us for an insightful session with Andrew Heggie, global pharma leader based in Switzerland, with 19 years of experience across R&D, licensing, commercialization, and risk management. Drawing on his experience across the full R&D-to-commercialization lifecycle, Andrew will explore how project managers can integrate AI into core processes to identify inefficiencies, align workflows, and surface hidden risks.
He will also share a practical example of an NLP-based tool that detects cross-functional signals at the project-management level—enabling smarter collaboration between Finance, Operations, and Quality.
In this webinar, you will learn how to
- Embed AI into core R&D and project-management processes to enhance operational efficiency
- Identify hidden inefficiencies and risks through data-driven insights
- Foster collaboration between Finance, Operations, and Quality using NLP-based tools
- Integrate AI responsibly while maintaining compliance and scientific integrity
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