Today, AI has to reason and act on a fragmented data estate that most organizations struggle to understand: what is this data, where does it live, can it be trusted, and who (or what) is authorized to see it?
The answer to all these questions lies in data intelligence. By embedding discovery, classification, context, and governance directly at the data layer—at the source—data becomes self-describing and trustworthy wherever it goes.
In this webinar, you’ll learn:
- What understanding your data actually requires: discovery, classification, context, and lineage applied at the source
- How source-level governance flips from compliance brake to AI accelerator, especially for agents acting autonomously
- A way to assess whether the data your AI reasons and acts on can actually be trusted
ashduong
Published 2 days ago