About Collibra AI

With the help of Collibra AI, you can accelerate the creation of descriptions for your assets, making your data easier to understand.

The asset recommender suggests relevant assets based on the assets that were visited in the past. Recommendations can be based on the overall asset popularity across the organization or targeted for a specific user. Depending on where the recommendations are shown, they can also be categorized and filtered by asset type, domain, or community.

Collibra AI Copilot is a chat-based assistant that includes several AI agents, which can help:

• Find the data you need for analysis, reporting, or building AI models.
• Get definitions for terms, acronyms, and KPIs.
• Receive guidance based on the latest Collibra product documentation.

Data similarity is a feature that proposes similar assets. This can be useful for data consumers because:

• It simplifies data discovery: Quickly find relevant data based on connectivity and similarity to existing tables.
• It saves time and effort: Uncover valuable data sources without extensive manual searching or relying on experts.
• It builds trust in data: Check the data similarity score to assess the suitability of data for specific needs.

Data Analysis Expressions (DAX) analysis for Power BI technical lineage:

• Creates column-level lineage that includes your calculated columns and measures in Power BI.
• Enables stitching between calculated columns in the technical lineage and the corresponding Power BI Column assets in Data Catalog.

AI Diagram Description automatically generates a description for diagram pictures.

Semantic mapping helps data stewards map the semantic layer to other assets in Collibra by suggesting Data Attribute assets for Column assets and creating relations when suggestions are accepted.

Semantic Model Generation helps you create the semantic layer by providing data entity and data attribute suggestions. Once the suggestions are available, you can review them to build your model.