The pharma value chain has always been complex, long development cycles, fragmented data across functions, and decisions that carry enormous scientific and commercial stakes. AI promised to change this. But the path from that promise to production has been blocked by the same foundational problem: data that isn't unified, trusted, or AI-ready to act on.This webinar will talk about first-hand experience in tackling this head-on, building an Enterprise AI Foundry that delivers a single source of truth across R&D, supply chain, and commercial functions. We'll talk through the real architecture decisions, the use cases now running in production, and the measurable business outcomes across the molecule-to-market journey.We'll also talk about the Agentic era of today where AI doesn't just surface insights, it takes action. We'll discuss how the enterprise data foundation is being extended into agentic workflows: AI systems that can autonomously drive biomarker discovery in R&D, dynamically rebalance supply networks, and orchestrate personalized commercial engagement at scale.
Speakers
Head of Global Enterprise Architecture
Biomarin Pharmaceutical, Inc.
Melissa Fernandez is an AI and Digital Transformation executive with a track record of turning enterprise-scale data and AI strategies into measurable business outcomes. As Head of Global Enterprise Architecture at BioMarin, she leads the organization's end-to-end AI and technology agenda — spanning strategy, infrastructure, governance, and talent. Her expertise spans cloud architecture, Databricks, Anthropic's Claude, AI governance, data privacy, and the alignment of technology roadmaps to scientific and business value streams.
