Stress Less, Scale More: Building a Semantic Architecture to Enable AI-Ready Data (and their humans)

Data teams are hearing the call: leadership demands AI-ready data. But while the vision is clear, the lack of concrete documentation on how to get there makes it a daunting task. How do you start the work from where you are, build a scalable semantic architecture, and prepare not just your data—but your people—to thrive in an AI-driven future?

In this session, Ritu Arora, Associate Director of Data Governance, Master Data & Reference Data Management at Bristol Myers Squibb, and Laurie Nelsen former Sr. Ontologist at Mayo Clinic and current Semantic Solutions Engineer at TopQuadrant, will cover learnings from the BMS’s journey, including: semantically enriching data discovery, connecting data sources cross domain and cross systems, activating meta data, and delivering data products leveraging TopQuadrant’s flagship TopBraid EDG solution.

What You’ll Take Away:

• How to engage your team to begin AI-readiness work today, regardless of current maturity.
• Key steps to build a flexible semantic architecture that supports scaling AI initiatives.
• Practical lessons on metadata management, data discovery, and governance from industry experts.

You will leave with an understanding of how to inspire teams to start AI-ready work from wherever they are, and the next steps needed to build a scalable solution—even when the future state is still unknown.