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Explore how pharmaceutical giant Gilead Sciences leverages the convergence of cloud, data, and AI technologies to revolutionize drug development and business processes across their entire value chain. Learn about Gilead's unified platform approach using AWS, Databricks, and Data Mesh architecture to manage vast amounts of heterogeneous pharmaceutical data, accelerating pre-clinical and clinical stage processes while enabling smarter manufacturing and commercial operations. Discover real-world use cases of traditional AI/ML and Generative AI implementations, including their innovative Marketplace approach for driving AI Agent adoption throughout the organization. Examine how Gilead is exploring Agentic AI as the future of pharmaceutical innovation, where cloud, data, and AI synergy unlocks new possibilities for advancing global health outcomes. In the second segment, gain insights from serial entrepreneur Muddu Sudhakar on strategic approaches for organizations to build versus buy AI and Agent solutions using data platforms, covering essential topics including Agentic AI Platform architecture, agent orchestration, interoperability, guardrails, and workflow management. Understand the practical challenges of deploying and managing Agentic AI platforms in enterprise environments, and learn how organizations can develop impactful AI initiatives and agents that deliver significant return on investment while realizing AI's transformative potential.
