Creating a Pioneering Insight Generation Platform for Life Sciences - Using Generative AI and LLMs

Watch a 34-minute conference talk exploring the development of a groundbreaking insight generation platform at Bayer AG, where Sr. Director AI/ML Hooman Sedghamiz shares his experience creating an internal solution for processing complex life science data. Learn how Generative AI and Large Language Models are leveraged to transform diverse data sources including clinical trials, regulatory documents, and real-world data into actionable insights for a global workforce of 100,000+ employees. Discover the advantages of building custom internal solutions over off-the-shelf options, while gaining knowledge about real-time augmented responses and emerging agentic technology. Benefit from Sedghamiz's extensive expertise in AI/ML within life sciences, including his work with implantable and wearable medical devices, role as GPT-based platform leader at Bayer Pharmaceuticals, and contributions as Co-Chair for EMNLP 2023 GEM industrial track.