Blog: Why New AI Tools Like ChatGPT Need Knowledge Graphs
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Metadata Management

Adopt semantic data catalog and data fabric use cases to power enterprise strategies, such as for AI/ML.

Connecting ever-proliferating information assets into a single semantic layer makes data more actionable and useful to both humans and machines. TopBraid EDG collects metadata from data sources, creating an  knowledge graph that provides the visibility, control and intelligence needed to manage change, build connections across metadata silos, reduce errors and ensure data consistency.

Unlike proprietary approaches, such as the traditional data catalog, knowledge graphs created in TopBraid EDG open-standard based and limitlessly scalable. RDF knowledge graphs are also more flexible and capture more meaning — comprising technical, business and operational metadata — and enable semantic data catalog and active metadata management use cases.

- Understand your data: Connect data silos and trace data lineage across all business systems
- Increase productivity: Through understanding the impact of proposed data changes and enabling collaboration between business and technical stakeholders
- Reduce business risks: By knowing how – and when – you can use and share the data
- Improve business decisions: Create digital twins to combine, integrate, exchange and analyze information more effectively and reliably

Metadata Management Resources

Product Video
Overview of Ontology Modeling in TopBraid EDG
This is a longer, more advanced video targeted to users that already have some experience working with ontologies and Semantic Web standards.
Metadata Management
Case Study
Asset Management for Engineering and Design
A national transport infrastructure agency needed to improve the management of organization-wide data. Learn why they used TopQuadrant’s TopBraid EDG.
Metadata Management
Case Study
Financial Services
Managing Metadata to Leverage Data Governance and Sourcing
In this case study, an investment firm used TopBraid EDG to provide businesses with better and timelier access to information about data use.
Metadata Management
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