Organizations and professionals are experimenting with AI at a rapid pace, but using more tools does not automatically lead to better work, stronger decisions, or measurable progress.

In this keynote, Jenny Kay Pollock explores the gap between visible AI activity and meaningful value. She explains why access to tools is not the same as building capability, why isolated experiments often fail to change how work gets done, and why human judgment remains essential as AI becomes more capable.

Attendees learn how to move beyond trying tools for their own sake and begin identifying where AI can improve decisions, strengthen workflows, and create repeatable value.

The session gives participants a practical way to evaluate AI opportunities while maintaining trust, accountability, and a clear connection to the outcomes that matter.

Format: Keynote
Audience: Data professionals, technology leaders, business leaders, and professionals applying AI in their work
Preferred duration: 20–45 minutes
Previously delivered for: Women in Data
Delivery: In person or virtual