Session 3-C (Life Science Thread Session 3)

Scaling Strategic Impact: Unifying Cloud, Data & AI for Business Value

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What happens when cloud, data, and AI are no longer siloed capabilities but an integrated platform powering the enterprise? This session explores how Gilead is converging these domains to drive business-aligned outcomes across the entire value chain, from Drug Discovery and Development to Manufacturing and Commercialization.

Learn how a unified Cloud, Data and AI architecture can:

• Deliver end-to-end traceability from aspirations to strategy to execution to CMDB to Cloud FinOps
• Empower business units with self-service data access and reusable AI agents
• Support Responsible AI practices, compliance, and operational resilience
• Reduce time-to-insight and increase platform ROI using data mesh and FinOps principles

Discover how this is being implemented at scale at Gilead, including the shifts required to manage change, complexity, and culture, as well as the challenges and best practices for scaling adoption.

Why attend?

If your organization is navigating AI adoption, managing data complexity, or rethinking platform strategy, this session offers a roadmap to align technology with business goals. Walk away with actionable insights on designing a scalable, governed AI-ready platform that accelerates innovation without compromising trust or agility.

Speaker

murali vridHachalam

VP & IT Head of Cloud, Data, & Analytics, Gilead Sciences