"Data product" has become one of the most overused (and least understood) terms in data today. Is it a dashboard? A dataset? An API? A table someone cleaned up once? This webinar cuts through the noise to get specific about what a data product actually is: a managed, reusable, and trustworthy data asset built and maintained like a real product — with an owner, a purpose, clear quality standards, and consumers who depend on it. Join Dylan Greenfield , Kate Wendell and Livia Wegenast from Collibra as they break down how Collibra defines a data product and why that definition matters more than ever in the age of AI. Here's the catch: AI agents and LLMs are only as good as the data they draw from. Feed them ungoverned, undocumented, unreliable data and you get confident-sounding nonsense. Feed them well-defined data products — with built-in context, lineage, and quality guarantees — and you get accurate, explainable, trustworthy results. In this session, you'll learn: How Collibra defines what a data product actually is — and what it isn't The essential components that turn raw, scattered data into real business value Why well-governed data products are the foundation for trusted, accurate AI You'll walk away knowing what separates a genuine data product from a glorified dataset, the core ingredients required to productize your data, and how doing this right lays the foundation for AI you can actually trust. 📅 Details September 8 | 11:00 AM EST / 8:00 AM PT / 5:00 PM CET Register here → https://www.collibra.com/events/what-is-a-data-product-really
