The AI Innovation Circle for Life Sciences | Episode 5

Grounding AI in Enterprise Knowledge RAG, Semantic Retrieval & Knowledge Graphs

How do AI systems find and use trusted information?

Join this workshop to explore how trusted AI systems find, retrieve and leverage enterprise knowledge to generate accurate, explainable answers. Through discussions on retrieval-augmented generation (RAG), semantic RAG and retrieval, and knowledge graphs, participants will learn how AI can be grounded in governed data, business context and trusted relationships rather than relying solely on statistical predictions.

Together, we'll examine practical approaches for improving AI precision, relevance and defensibility using search, graph technologies, metadata and document-centric retrieval. Attendees will also discuss strategies for secure, role-aware access to information and how semantic foundations help organizations deliver more trustworthy AI across research, clinical, regulatory, manufacturing, quality and commercial operations.

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Date: January 27, 2027

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

Understand How Trusted AI Finds the Right Information
Learn the differences between traditional RAG and semantic RAG, and how enterprise AI systems retrieve relevant information using business meaning, context and relationships rather than keywords alone
Improve AI Accuracy, Explainability and Trust
Discover how knowledge graphs, metadata and governed semantic models help ground AI responses in trusted facts, improving precision, defensibility and confidence in AI-generated insights
Build Secure, Enterprise-Ready AI Applications
Explore how search, graph technologies and role-aware retrieval work together to deliver the right information to the right people while maintaining governance, compliance and data security requirements

Episode 01 | July 14, 2026

The Foundational Workshop in an Enterprise AI Series

Join, Discuss & Learn

Join fellow Life Sciences and AI leaders for an engaging discussion on how organizations are improving AI accuracy, trust and explainability through traditional RAG, semantic RAG and retrieval and knowledge graphs. Together, we'll explore how AI systems can move beyond simple keyword search to retrieve information based on business context, governed relationships and trusted enterprise knowledge.

Learn how leading organizations are grounding AI responses in facts, metadata and secure enterprise data to deliver more precise and defensible outcomes. Discuss real-world approaches for combining search, knowledge graphs and role-aware retrieval to support trusted AI across R&D, Clinical, Regulatory, Manufacturing, Quality and Commercial functions.