The AI in Business Podcast AI Data Strategies for Life Sciences Agriculture and Materials Science - with Daniel Ferrante of Deloitte
May 28, 2025
In this engaging discussion, Daniel Ferrante, AI Leader in R&D and Data Strategy at Deloitte, sheds light on leveraging AI to enhance efficiency in agriculture, life sciences, and materials science. He addresses the challenges organizations face in data utilization and the importance of Deloitte's Atlas framework for unifying datasets. Ferrante discusses how large language models can aid in navigating complex data landscapes and emphasizes fostering a flexible approach to ontology to drive innovation. Key insights for pharmaceutical leaders on integrating AI into drug development are also explored.
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LLMs Map Scientific Data Contextually
- AI can map scientific data onto contextual knowledge to uncover hidden relationships.
- Large language models help label and position data points in complex scientific landscapes.
Single Person Manages Drug Lifecycle
- In pharma, one person often manages a drug through the entire development process.
- Losing that individual risks losing vital institutional knowledge.
Ground AI to Reduce Hallucinations
- Use grounding and agentic approaches to reduce AI hallucinations in scientific data.
- Control model parameters and validate outputs against prior knowledge for trust.