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On-Demand Webinar

From Molecule to Market: How Agentic AI Is Transforming the Pharma Value Chain

Discover how BioMarin partnered with Databricks and Tredence to build a trusted enterprise data foundation and unlock agentic AI use cases across R&D, supply chain, and commercial functions.

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The Enterprise AI Webinar Life Sciences Leaders Have Been Waiting For

Building the Trusted Data Foundation Pharma Needs for Agentic AI

The pharma value chain has always been complex, with 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 promise to production has been blocked by the same foundational problem: data that is not unified, trusted, or AI-ready.

In this webinar, we hear how BioMarin has partnered with Databricks and Tredence to build an enterprise AI foundation that creates a single source of truth across R&D, supply chain, and commercial functions, and explore how that foundation is enabling real world AI use cases to move from experimentation into production.

What You Will Learn

  • Enterprise Data Foundation Architecture

    The architecture decisions required to establish a trusted, unified data foundation across R&D, supply chain, and commercial functions.

  • Real World AI Use Cases in Production

    How pharma organizations are moving AI use cases from experimentation into scaled, production deployment.

  • Measurable Business Outcomes

    The business impact being realized across the molecule to market journey, from R&D through commercialization.

  • Agentic AI for Pharma Operations

    How enterprise data foundations support agentic AI workflows that reason, act, and orchestrate decisions across functions.

  • The Next Frontier: Biomarkers, Supply and Personalization

    How AI systems are advancing biomarker discovery, dynamically rebalancing supply networks, and enabling more personalized commercial engagement.

On-Demand Webinar
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Meet the Speakers

Melissa Fernandez
Melissa Fernandez

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.

Christina Busmalis
Christina Busmalis

Global GTM Leader, Life Sciences

Databricks

Christina is the Global GTM leader for Life Sciences at Databricks and a MedTech/Digital Expert Board member for the AO Foundation. Christina is an accomplished technical and sales executive, and C-suite leader with 25+ years of experience, primarily focused in the Healthcare & Life Science industry, specifically big pharma, MedTech and Biotech. She is a thought leader on disruptive technologies for the Life Science industry and brings strong global expertise across leadership, business development, people management, sales & marketing, consulting, and operations. Christina has a client-first mentality, strategically focused at the intersection of business and technology to support clients in their digital, data, and AI transformations.

Prashant Sareen
Prashant Sareen

Senior Vice President & Chief Business Officer - Healthcare & Life Sciences

Tredence

With over 18 years of leadership across the healthcare & life sciences ecosystem, Prashant Sareen is known for bridging the gap between analytics and action. He has delivered measurable impact for payers, providers, PBMs, home health, medical devices, and life sciences organizations, driving both strategic growth and operational excellence. As Global Head - Healthcare and Life Sciences at Tredence, Prashant leads a high-performing sales organization focused on translating insights into outcomes by driving last-mile adoption of data science solutions. His approach integrates sales performance, stakeholder engagement, and analytics adoption to help clients unlock the full value of innovation.