Data leadership has spent the past decade earning a seat at the table — first by proving that governed data was worth building, now by becoming the foundation that makes AI trustworthy. Caitlin Halferty brings that arc to Thomson Reuters’ own shift from information provider to AI partner.

• What best-in-class data looks like at enterprise scale: 37,000+ governed tables, 350 sources, and one semantic layer used by 1,500+ people daily the foundation that makes AI trustworthy, not just fast.
• Why “fiduciary-grade AI” is the design bar for professionals who can’t afford to be wrong.
• The path to bringing a proprietary LLM to market, and the role that owning unique content plays in that decision.
• Balancing democratized, natural-language access to data with the auditability and control governance still requires.
• Building responsible AI into the product itself, rather than bolting it on as compliance, as a way to move faster rather than slower.