Session 4-A (Life Science Thread Session 4)

AI-Driven Data Strategy in Pharma: Balancing Innovation, Governance, and Value

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As AI and generative models continue to transform the pharmaceutical and life sciences industries, Chief Data Officers face a big question:

How can companies fully use AI while maintaining strong data quality, governance, and real business impact?

This panel will discuss important topics associated with the impact of AI on Data Strategy, Data Governance, AI readiness, and data products. Expect a deep dive into data value, sourcing external data, and how Data Governance and Master Data Management are changing in the age of generative AI. Panelists will share practical strategies for accommodating AI’s impact, building digital fluency, and rethinking how pharma views its data, whether as a competitive advantage or a shared resource that can move the entire industry forward.

Join us for an engaging conversation on navigating the future of data-driven innovation.

Moderator

David paget-brown

Senior Vice President, Head of Operations, Modak

Panelists

kent supancik

Associate Vice President, Enterprise Data, Eli Lilly

 

J.D. williams

Chief Data and Analytics Officer, Zoetis

Gian prakash

Director of Data Engineering & Analytics, Global Therapeutics R&D, AbbVie

santha ramakrishnan

VP, Head of R&D Data Strategy and Governance, Bayer