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From Theory to Therapy

How Data Governance Enables Generative AI for Life Sciences

From research and development (R&D) to manufacturing and supply chain, generative AI (gen AI) is revolutionizing the life sciences industry. In today’s fast-evolving world of organ-on-a-chip technology, machine-generated data, and decentralized clinical trials, a cohesive and compliant data strategy leveraging gen AI has the potential to transform how organizations like yours go to market and evolve their therapies. However, a strong data foundation is required to capitalize on the potential of gen AI promises.

Without high-quality, well-managed data in a secure, compliant environment, gen AI is little more than a party trick. By investing in data governance and management, organizations will have the required building blocks to reap the benefits of this cutting-edge technology.

Watch for a virtual roundtable discussion, where we’ll hear from industry panelists about:

  • The opportunities generative AI presents for life sciences organizations
  • How data governance provides the foundation for innovation
  • Real-world examples of how life sciences organizations are approaching data governance strategy

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Kim woodward profile picture

Kim Woodward

Head of Enterprise Data Governance


johanna deyoung profile picture

Johanna DeYoung

Global Industry Lead, Life Sciences


Mark Kobe profile picture

Mark Kobe

Global Leader, Data & AI Accelerate


John Wilbanks

John Wilbanks

Senior Adviser, Milken Institute


Amy Tyler

Amy Tyler

Division Vice President, Commercial Delivery


Terry Finch

Terry Finch

Division Vice President, Digital Technology Services


Michael Sanky profile picture

Michael Sanky

Global GTM Leader, HLS