Is Your Data Quality Ready for the AI Era?

In the age of AI, the quality of your data is no longer a back-office concern - it’s a strategic imperative. As organizations rush to leverage advanced data models and AI capabilities, one foundational pillar often remains overlooked: data quality management. This talk explores why data quality is not just an IT issue but a whole-organization responsibility. Drawing from real-world experience and lessons learned, we’ll highlight the most critical aspects every company should consider to extract maximum value from their data. These insights are grounded in two decades of working with real companies and navigating their daily data struggles - offering practical, relatable examples that resonate beyond theory. Whether you're just starting or looking to mature your data practices, this session will help you rethink how your organization values, measures, and acts on data quality - because in the AI era, what goes into your models truly determines what comes out.