This introductory session will provide attendees with a foundational understanding of generative AI that they can immediately apply in their organizations to drive greater efficiency and effectiveness. This session is ideal for those who are new to generative AI, have some understanding of it, and may be familiar with it but are seeking practical approaches to implementation. 

At the close of this session, attendees will be able to: 

• Define generative AI in relation to other types of AI 

• Apply the language and core concepts of generative AI to drive meaningful conversation on its value and use in the organization 

• Construct explorative generative AI use cases that deliver value 

• Create a plan for scaling generative AI use cases to support an emerging enterprise-level capability 

• Integrate generative AI into data governance and data management activities to grow maturity faster 

• Guide the organization through the AI model lifecycle in order to identify initial governance considerations and requirements 

Stephanie is a senior consultant specializing in building and maturing data governance programs through the effective unification of business and technology through data. She brings hands-on experience from previous marketing and data stewardship roles, in addition to CDMP certification.

Stephanie is an accomplished data governance leader highly adept at helping clients transition between strategic vision and tactical execution. Her experience spans across the various sub-disciplines of data governance and data management with a focus on how to activate right-sized, culturally relevant data enablement programs. With the uptick in focus on AI governance, Stephanie is actively responding to the required paradigm shifts in traditional governance and management frameworks and approaches.