Read about why data challenges derail AI initiatives & how knowledge graphs overcome them, building a future-proof foundation.
read moreArchive for "Enterprise Data Hub"
Blog Post
The Semantic Layer: A Reliable Map of the Enterprise Data Landscape
Read about how the idea of a semantic layer started, what are its elements, and how we can use it to enhance the performance of large language models
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Blog Post
Language, Data, and Knowledge: Piloting A Virtual Graph RAG
Read about EPAM’s collaborative experience with Graphwise GraphDB and its Talk to Your Graph interface.
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Blog Post
Graphwise – Unlocking Enterprise Potential: The Strategic Power of a Semantic Layer
Learn how a semantic layer helps with data silos & AI hallucinations and how to unify data & build reliable AI.
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Blog Post
Five Critical Elements for AI Success: The Graph Center of Excellence
In part 2 of this blog series, read what are the 5 critical elements for AI success with the Graph Center of Excellence.
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How the Semantic Layer Enables Reliable Generative AI and Business Decisions
Read about the role of semantic layers and enterprise knowledge graphs for efficient governance and decision-making.
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From Enterprise Silos to Data Governance: The Graph Center of Excellence
In part 1 of this blog series, read how the Graph Center of Excellence propels you from data silos to data governance.
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Blog Post
Riding the Databricks Wave with Hybrid Knowledge Graphs
How Ontopic team used GraphDB and LLMs to improve CV selection.
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Blog Post
Your Knowledge Graph Journey In Three Simple Steps
A bird’s eye view on where to start in building a knowledge graph solution to help your business excel in a data-driven market
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Blog Post
Knowledge Graphs: Redefining Data Management for the Modern Enterprise
Read about some of the primary problems of today’s enterprise data management and how knowledge graphs can solve them
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