Andreas Blumauer talks to Analytics about how knowledge graphs enable a recursive feedback loop with large language models.
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Andreas Blumauer
Senior Vice President of Growth at Graphwise. As the founder of Semantic Web Company (SWC) and creator of the PoolParty Semantic Platform, Andreas has been a driving force in advancing semantic AI, knowledge graph technologies, and RAG solutions.
With more than 20 years of experience, he has partnered with over 200 organizations worldwide to design and implement cutting-edge AI, semantic search, and knowledge graph solutions — empowering enterprises to unlock the full potential of their data through intelligent integration, modeling, and reasoning. In recent years, his focus has expanded to developing AI-powered ESG solutions that help companies and investors make more informed, sustainable decisions.
Thought Leadership post
Deconstructing Knowledge Graphs and Large Language Models
Andreas Blumauer talks to Dataversity about how combining knowledge graphs with LLM’s capabilities can create genuine contextual understanding.
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Thought Leadership post
Fine-Tuning LLM Performance: How Knowledge Graphs Can Help Avoid Missteps
Andreas Blumauer talks to BigDataWire about how knowledge graphs can enhance LLM fine-tuning through innovative approaches.
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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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Thought Leadership post
Unlocking AI Trust: How RAG and GraphRAG are Transforming GenAI
Andreas Blumauer talks to AIThority about how organizations are overcoming data quality and security concerns by adopting RAG technologies.
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Blog Post
Graph Technologies and Graph RAG: Shaping the Future of Corporate Knowledge Management
Read about how recent studies reveal the potential of graph technologies and GraphRAG to enable organizations to manage data more effectively
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Blog Post
Introducing a Graph-based Semantic Layer in Enterprises
A graph-based semantic layer focuses on entities and their relationships rather than words, enabling more meaningful, personalized, and connected understanding of enterprise data.
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