Navigating AI in Life Sciences: The Ontology Challenge

Today’s guest is Daniel Ferrante, AI Leader in R&D and Data Strategy at Deloitte. Daniel joins Emerj CEO and Head of Research Daniel Faggella on today’s show to delve into the intersection of AI, data strategy, and research and development across industries such as agriculture, life sciences, and materials science. Ferrante breaks down the core challenges organizations face in harnessing data to unlock AI’s potential and drive efficiencies in R&D processes. Ferrante also emphasizes the importance of contextualizing data through a multimodal framework — Deloitte’s Atlas — to bridge gaps between disparate datasets and ontologies. He outlines how AI models, including large language models (LLMs), can be leveraged to label and map complex data landscapes. This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast!