Create a governed data foundation to accelerate data outcomes and address security, privacy and compliance requirements
Build trust. Deliver results.
Data governance is the data management discipline that focuses on the quality, security and availability of an organization’s data. Data governance helps ensure data integrity and data security by defining and implementing policies, standards and procedures for data collection, ownership, storage, processing and use.
Featured products and services
The IBM watsonx.governance toolkit seamlessly integrates with your existing systems to accelerate responsible AI. Automated workflows operationalize best practices defined in AI governance programs.
IBM watsonx.data intelligence discovers, curates and governs data assets, turning raw information into accurate AI and meaningful insights across on-prem and cloud environments.
Guardium AI Security offers a robust, enterprise-grade solution to manage the security of your AI assets.
At IBM Consulting®, we guide clients to ‘do the right AI’ to create value across their enterprise and ‘do AI right’ to derisk the value creation.
Use cases
Prep, cleanse and govern your data and AI in the same tool.
Collaboratively build your models, mitigate bias and deploy without leaving the platform.
Gain visibility into risk exposure with automated tools and real-time monitoring—uncover vulnerabilities, fix misconfigurations, and build trusted AI through proactive governance and security.
Prep, cleanse and govern your data and AI in the same tool.
Collaboratively build your models, mitigate bias and deploy without leaving the platform.
Gain visibility into risk exposure with automated tools and real-time monitoring—uncover vulnerabilities, fix misconfigurations, and build trusted AI through proactive governance and security.
Resources
Discover why IBM is named a Leader for the 17th time in a row in the 2024 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions.
The IDC MarketScape vendor analysis for the ML Ops space evaluates various providers in the market and highlights IBM's strengths of AI governance, deployment option flexibility and no-code/low-code capabilities.
This ebook analyzes several topics related to data governance and privacy such as scalability, establishing and implementing organization-wide standards, and data lineage and traceability.
Consolidate datasets from disparate data sources to provide a 360-degree view of entities with ML-powered and master data management.