What is IBM Watson Knowledge Catalog?
IBM Watson® Knowledge Catalog powers intelligent, self-service discovery of data, models and more. The cloud-based enterprise metadata repository activates information for artificial intelligence, machine learning and deep learning. Access, curate, categorize and share data, knowledge assets and their relationships, wherever they reside. IBM Watson Knowledge Catalog helps accelerate business value and AI projects as part of a DataOps practice by providing unique capabilities like: IBM is committed to helping clients deliver business-ready data to feed AI and analytics projects with IBM Watson Knowledge Catalog for IBM Cloud Pak® for Data and as a service on IBM Cloud®. → Read the ebook: A comprehensive guide for the modern data catalog → Read more about IBM Cloud Pak for Data
Benefits
Key features
Advanced discovery
Intelligent recommendations from IBM Watson and peers help you find relevant assets quickly and at scale.
End-to-end catalog
Organize, define and manage enterprise data to provide the right context to drive value across imperatives like regulatory compliance and data monetization.
Automated governance
Active policy management and dynamic masking of sensitive data helps protect data to ensure compliance and audit-readiness, but most importantly, maintain client trust.
Operationalized quality
Track lineage and quality scores across structured data, unstructured data, AI models and notebooks.
Self-service insights
Consume and transform data at the speed of business with intuitive dashboards and flows that can be shared with peers or analytics tools.
Flexible deployment
Customize to use where your organization requires, whether on IBM Cloud Pak for Data, or as a service on IBM Cloud.
Client stories
Danske Bank
Danske Bank is strategically evolving their data governance practice with IBM Watson Knowledge Catalog.
Standard Bank Group
Standard Bank Group’s spirit of resilience drives growth in challenging times with IBM Cloud Pak for Data and IBM solutions for DataOps.
In the spotlight
2020 Gartner Magic Quadrant for Data Quality Solutions
IBM is positioned as a Leader in the 2020 Gartner Magic Quadrant for Data Quality Solutions. Read more about IBM Watson Knowledge Catalog.
Introduction to the IBM DataOps methodology and practice
Learn the foundations of a DataOps practice and view a use case using IBM Watson Knowledge Catalog in this 30-minute webinar.
Forrester's Total Economic Impact of IBM Cloud Pak for Data
Discover how IBM Cloud Pak for Data and IBM Watson Knowledge Catalog services are contributing ROI up to 158% for your peers in the market.
Take a closer look at IBM Watson Knowledge Catalog
The global search bar is available all the time, no matter where the user is in the navigation or what content they're working on.
As the user types, the drop down shows a list of suggested search strings based on both the current user’s and previous users’ search strings.
Include classifications in the conditions for data protection rules. For example, you can create a rule to deny access to certain users if the asset is classified as PII or confidential.
Users can view the full workflow activity history on any governance artifact including adds, updates and approvals.
Column filtering allows users to only analyze the data most relevant to their use case by scoping into or filtering out columns by name, column type or first N candidates.
Users can enable automatic business term assignment that is trained specific to your business’ terminology and is continuously learning and improving based on users’ modifications.
Users can quickly visualize how their data quality has changed over time by data asset based on their specified time interval.
Users can save time by having preferences saved to their own account so that important details are preserved by the product no matter where you access it.