Prerequisite: None
This session will include a moderated Q&A featuring questions from the live audience.
As organizations race to adopt artificial intelligence (AI), many overlook a foundational question: is the data ready? Deanne Larson will discuss the critical role of data readiness in successful AI initiatives and provide a readiness checklist for leaders.
Dr. Larson’s talk will demystify what “AI-ready data” really means. She will address key topics such as data quality, governance, architecture, and integration across business units. Larson will explore real-world scenarios where poor data planning stalled AI outcomes and share practical steps leaders can take to assess and elevate their organization’s data maturity. Attendees will leave with a clear understanding of the strategic and operational investments needed to ensure data environments can support AI at scale.
Larson’s session will:
- Define what constitutes AI-ready data from a business and technical perspective
- Identify common data challenges that undermine AI success
- Explore best practices for governance, integration, and data quality
- Equip leaders with a readiness checklist to support future AI initiatives
- Engage in a Q&A to address organization-specific concerns