About this session

Strong data foundations are becoming increasingly critical as organizations accelerate machine learning and Generative AI development. As data-driven capabilities expand, effective governance and collaboration across data teams are essential to ensure trust, scalability, and business value. This discussion will explore how organizations can build reliable data ecosystems that support advanced analytics and AI innovation while maintaining the high standards of data quality, accountability, and governance expected in modern luxury brands.

Participants will also discuss how data teams can work across functions to enable responsible and impactful AI initiatives, with a focus on data ownership, data quality, and practical machine learning use cases. The session will provide an opportunity to exchange perspectives on governance structures that not only protect data integrity but also empower teams to innovate with machine learning.

Discussion Points:
- Data Governance
- Data Quality
- Data Ownership
- Machine Learning Use Cases

Be prepared to share your experiences in this exclusive small gathering.

About the discussion:
- For Data Leaders involved with data governance and machine learning, particularly within luxury retail!
- In English

We have only 10 spots, so be quick to sign up! If you cannot make it, make sure to cancel your participation to give space for others.

*What is a Hosted Group Discussion?

• A one-time, 1-hour session led by a member of the Aurora Live Network.
• The host chooses a topic they are passionate about and have experience in, and begins with a short presentation designed to spark a meaningful conversation with other participants.
• The purpose of the session is for selected participants to come together to exchange ideas, perspectives, and personal experiences in an open and engaging environment.