On Demand
From Theory to Therapy
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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Speakers
Kim Woodward
Head of Enterprise Data Governance
AstraZeneca
Johanna DeYoung
Global Industry Lead, Life Sciences
Slalom
Mark Kobe
Global Leader, Data & AI Accelerate
Slalom
John Wilbanks
Senior Adviser, Milken Institute
FasterCures
Amy Tyler
Division Vice President, Commercial Delivery
Abbott
Terry Finch
Division Vice President, Digital Technology Services
Abbott
Michael Sanky
Global GTM Leader, HLS
Databricks