Enterprise
Semantic Layer
Unite data at scale and embrace data centricity.
The flexibility and power of knowledge graphs enable organizations to unite metadata from any application, business unit, domain or geography. This catalog of catalogs not only eliminates data silos, it enables data-centric solutions to data management that can automate business operations, improve the reusability of your data and lay the ground for AI initiatives at scale.
Consolidate metadata with a catalog of catalogs.
Govern and use all your data dynamically with semantics.
Scale LLM and AI initiatives.
Collecting metadata from technical, business and operational metadata into a single semantic layer provides context for data by representing its meaning, business significance, and relationships with other data. Simply put, when metadata is available in an effective way, data becomes more valuable.
TopBraid EDG makes it possible for organizations to:
- 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
- Improve business decisions: Create digital twins to combine, integrate, exchange and analyze information more effectively and reliably
- Reduce business risks: By knowing how – and when – you can use and share the data
Related Knowledge
How TopQuadrant is embracing Large Language Models (LLMs)
Resource Hub Search Table of Contents < All Topics Main Data Governance How TopQuadrant is embracing Large Language Models (LLMs) Print How TopQuadrant is embracing
Enhancing Data Interoperability in Life Sciences
Resource Hub Search Table of Contents < All Topics Main Data Governance Enhancing Data Interoperability in Life Sciences Print Enhancing Data Interoperability in Life Sciences
The Road to AI Success: Avoiding Common Pitfalls in Enterprise AI Pilots
Resource Hub Search Table of Contents < All Topics Main Data Governance The Road to AI Success: Avoiding Common Pitfalls in Enterprise AI Pilots Print
From Hype to Reality: How Ontologies Are Paving the Way for Enterprise AI
Resource Hub Search Table of Contents < All Topics Main Ontologies From Hype to Reality: How Ontologies Are Paving the Way for Enterprise AI Print
What Are Classonomies – and why you may want to avoid them
Many of our customers have told us of the challenges of working with classonomies. To better understand what I mean by a classonomy, read this blog.
Why I Use SHACL For Defining Ontology Models
This is the second blog on what modeling language we recommend to use when creating ontologies. In this blog I will talk about what I do use.
