About this session

Everyone wants to deploy AI, but the uncomfortable truth is that an artificial intelligence model is only as good as the data feeding it. This discussion will aim to help strip away the industry hype to focus on the critical catalyst for AI success: Data Readiness!

We will explore what it realistically takes to transform fragmented legacy data into high-quality, securely governed, and machine-readable assets. Whether you are aiming to deploy large language models or automate core operations, we all need actionable strategies to understand your data maturity, break down organisational silos, and build a reliable foundation that turns raw data into a scalable competitive advantage.

Discussion Points:
- The importance of data quality
- The transformation of legacy data
- The assessment of data maturity
- The readiness of data for successful Gen AI implementation
Be prepared to share your experiences in this exclusive small gathering.

About the discussion:
• For Data & AI leaders focused on data quality and Gen AI
• 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.