How Does AI Work When It Comes To Data Catalogs?

Data catalogs play an integral role in managing and governing data. They're crucial to the success of data-driven organizations, keeping massive datasets well-organized and accessible. But old-school catalogs have many limitations.

They require manual cataloging, eating up valuable time and resources. Plus, they can struggle to keep up with changes in data sources, resulting in inaccuracies and poor data reliability. Pair that with a lack of support for unstructured data and effective lineage tracking; traditional catalogs can be more frustrating than anything else.

 Fortunately, artificial intelligence aims to change that! AI powered data catalogs are the way of the future. But how does the technology work?

Time-Saving Automation

One of the biggest benefits of pairing AI with modern data catalogs is removing the standard time-consuming manual labor. AI technology can automate crucial management activities like curation, documentation and governance. Instead of spending time doing those labor-intensive tasks, data stewards can focus their energy elsewhere.

AI can also integrate with existing workflows to improve productivity throughout an organization. For example, your team can search for data and ask questions directly on collaborative platforms like Slack. The technology can also integrate with creation tools, creating a more efficient workflow for every team.

Better Accuracy

AI can also create a single source of truth for your data catalog. Data evolves and changes, but traditional catalogs make ensuring everyone is on the same page difficult. Data teams will ask questions multiple times, and there's always the risk of inaccuracies.

Newer AI powered data catalogs solve that problem by collecting and organizing data requests without manual updating. It helps improve reliability and becomes the holy grail for discovery and accessibility.

Automated Governance and Enhanced Security

If your organization deals with sensitive data, AI is a game-changer. The technology can automatically tag, categorize and regulate data across your teams while complying with governance rules and compliance regulations.

It makes tracking lineage and implementing appropriate security processes easier. The technology can also identify and classify structured and unstructured across the business.

Read a similar article about active metadata management here at this page.