The AI Innovation Circle for Life Sciences | Episode 4

From Knowledge Models to Semantic Memory: Building the Enterprise Context Layer for Trusted AI

How do you operationalize semantic models?

This session focuses on moving beyond conceptual taxonomies and ontologies to create an operational enterprise context layer that AI can actively use across systems, teams and business processes. Participants will explore how semantic models become reusable knowledge services, providing consistent context that improves decision-making, automation and AI accuracy across the organization.

The workshop also examines the governance foundations required to scale AI, including metadata, lineage, provenance and information stewardship. Attendees will learn how to deliver trusted, reusable context across R&D, Clinical, Regulatory, Manufacturing, Quality and Commercial functions, creating a durable knowledge foundation that can support the next generation of AI agents and enterprise applications.

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Date: December 16, 2026

Time: 3:00 p.m. ET

Audience: Senior Leaders Across R&D, Clinical Development, Regulatory Affairs, Medical Affairs, Data & AI and Information Management

Key takeaways

Transform Knowledge into Actionable AI Context
Learn how taxonomies, ontologies and semantic models evolve from reference assets into reusable knowledge services that provide consistent context across enterprise applications and AI initiatives
Create Trusted, Governed Information Foundations
Understand the role of metadata, lineage, provenance and governance in facilitating in AI system operation with reliable, explainable and compliant information at scale
Build a Foundation for Future AI Agents
Discover how an enterprise context layer connects R&D, Clinical, Regulatory, Manufacturing, Quality and Commercial functions, enabling AI agents to reason more effectively and deliver greater business value

Episode 01 | July 14, 2026

The Foundational Workshop in an Enterprise AI Series

Join, Discuss & Learn

Join your peers for an interactive discussion on how organizations can transform taxonomies, ontologies and semantic models into an enterprise context layer that powers trustworthy AI at scale. Together, we'll explore practical approaches for operationalizing knowledge, governing information assets and creating reusable context that connects data, applications and business processes across the organization.

Learn how leading Life Sciences organizations are building a durable foundation for AI across R&D, Clinical, Regulatory, Manufacturing, Quality and Commercial functions. Share experiences, discuss challenges and discover how a well-designed semantic foundation can improve decision-making, accelerate automation and enable the next generation of intelligent AI agents.