Bringing automation and intelligence to data catalogs

By | 3 minute read | March 29, 2019

Organizations use only a small percentage of the vast amount of data they generate. To drive insights and outcomes at scale, many are building data science teams and enabling knowledge workers with access to data. But these teams can take advantage of data only when they know what the data is about. That’s where the artificial intelligence-powered data catalog comes in.

AI is helping simplify and change the approach to seemingly every traditional IT product category and data catalogs are no different. This unique technology works alongside databases to help users easily identify and understand their data sources for analysis, management and governance.

They enable organizations to disseminate trusted, meaningful and quality information to users in a collaborative and secure environment. As such, the data catalog is well-positioned to be advanced by AI.

Continually, we are more dependent upon, and even expecting, machines to make recommendations and augment our decision-making, relying on a top-down rationalization influenced by human behavior and thought processes. Applying such behaviors to our organizational and informational structures is not only natural, it is also needed to cope with the vast amount of information available and necessary to the process of making intelligent and guided decisions.

AI is further proving to be a necessity for extracting useful insights from information. The increase in the volume of information, along with its diversity and complexity, creates impediments for its manual discovery, identification, organization or application or regulation.

That’s why we believe that infusing AI into the data catalog is increasingly critical.

Doing so changes the nature and benefit that data catalogs have historically delivered. As a result, not only are AI-infused data catalogs able to democratize data access or present tribal knowledge, they also can automate and enact processes, perform thorough analysis and contextualize information.

In the past it was the responsibility of a few to support the information and activities of a data catalog, and the process was slow and labor intensive. Today we can rely upon AI within a collaborate environment to deliver such added value and stem the costly and labor-intensive processes required to deliver such.

Introducing IBM Watson Knowledge Catalog Professional Edition

These are the primary reasons we’ve gone to great lengths to advance the IBM Watson Knowledge Catalog. In the latest edition, available today, users can re-invent the way they work, re-imagine the workspace and processes required to support an intelligent data catalog infused by AI. IBM Watson Knowledge Catalog makes data simple and accessible, preparing a solid foundation for understanding and analyzing information.

Watson-powered recommendations to enable knowledge works to quickly find data assets.


The new version of Watson Knowledge Catalog delivers:

  • A simple yet elegant user experience that allows users to search and explore for information, allowing them to find and consume information to drive new analytics or data science in a secure environment
  • A recommendation engine to suggest information and lead to new insights
  • An ability to capture the language of the business within a detailed glossary or document the regulations and specifications of information within a rule framework
  • A comprehensive set of classification and discovery services for helping identify the type and meaning of information and applying the relevant data access rules, preserving responsibility and compliance for information
  • Advanced refinery and reporting capabilities, providing a single catalog solution satisfying the demands of the enterprise to enable and provide directed access to information

Column anonymized view of data assets to protect data assets.

Built for hybrid, multicloud environments

In addition to all of this, the new Watson Knowledge Catalog is built to run anywhere: in on-premises, public or hybrid multicloud environments. It is scalable and open and incorporates a holistic view of information across the enterprise (both structured and un-structured), supporting a variety of data regulations, including GDPR, HIPAA, CCPA, BASEL.

To manage the inefficiencies of data and deliver information, responsibly, to the business requires an intelligent data catalog solution, a solution driven and infused with AI.

For more information, I strongly encourage you to listen to the upcoming webinar Why Data Catalogs and Data Governance cannot be an afterthought in the age of AI hosted by Michele Goetz, Principal Analyst at Forrester, and Jay Limburn, Director of Offering Management at IBM.

Explore what IBM Watson Knowledge Catalog can do for your business.