No AI Without IA: How Regulated Enterprises Can Scale AI Safely and Intelligently
Webinar August 20, 1pm ET|10am PT
AI Can’t Scale If Your Information Is a Mess.
In regulated industries, AI fails when knowledge isn’t structured, governed, and traceable. Join us for a candid conversation on how IT leaders can build the foundation for safe, scalable AI starting with information architecture.
What You’ll Learn
IT leaders are under pressure to scale AI but disconnected systems, siloed content, and compliance risks make that nearly impossible without a structured knowledge layer.
In this session, we’ll explore how information architecture (IA) enables AI systems to be:
- Compliant with traceable, auditable content
- Context-aware delivering accurate answers, not hallucinations
- Scalable across regulatory, clinical, and commercial use cases
You’ll gain insight into:
- Why AI fails in regulated environments and what to fix first
- What Retrieval-Augmented Generation (RAG) looks like with compliant data
- How metadata, taxonomy, and governance enable traceability
- Practical steps for IT to build the foundation without boiling the ocean
Register
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Meet The Speaker
Seth Earley
An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions.
Seth has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance by making information more findable, usable and valuable through integrated enterprise architectures supporting analytics, e-commerce and customer experience applications.