Governance and Catalog | IBM (original) (raw)

Intelligent catalog for unified governance

Data governance and catalog capabilities connect business context to your data—linking definitions, policies, and relationships to technical assets. With governance workflows and shared context in place, teams and agents can better understand, trust, and manage data across the organization. This alignment ensures the right data is used for the right purpose, improving compliance, consistency, and decision-making.

This capability connects business meaning, policies, and relationships to data, enabling AI and systems to interpret and use data with the correct context and control.

Why this matters for AI

So AI understands data in the right business context and applies policies correctly.

Governed catalogs

Using advanced data classification and masking functions, data protection rules support secure data handling through data lineage tracking and comprehensive audit trails.

Data protection rules Knowledge accelerators

Facilitating the swift deployment of data governance and analytics frameworks, ready-to-use vocabularies help ensure a consistent approach to data quality and compliance, saving time and effort.

Learn more LLM-powered metadata enrichment

Built on trusted IBM Research® models, automatically analyze and enhance technical metadata with more context, labels or descriptions, across thousands of assets concurrently.

Read the blog Intelligent search

Expands and enhances user queries by using AI to quickly surface crucial information and insightful answers that are directly relevant, and based on semantic meaning.

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Enhanced governance, quality and security

Manual processes, low data literacy and growing data volumes hinder data and AI initiatives. A DataOps practice with a data catalog tool can drive agility and speed by delivering high-quality, trusted enterprise data and enabling collaboration.

Benefits >70% Knowledge accelerators

More than 70% cost savings in manual labor for regulatory compliance.

>90% LLM-based metadata enrichment

More than 90% reduction in time and effort for mapping businessterms to data and generating asset names and descriptions.

~55% Intelligent search

Time spent searching for data decreased by approximately 55%.

Webinars

Resources