AI Data Strategies for Life Sciences Agriculture and Materials Science - with Daniel Ferrante of Deloitte

The AI in Business Podcast · 2025-05-28

40:04

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!

The AI in Business Podcast

The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI.

Each week, Emerj AI Research CEO Daniel Faggella and team interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption.

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