Improve governance, integration, and AI explainability by structuring enterprise knowledge with semantic modeling standards like RDF, SHACL, and OWL. Data is everywhere, but without structure,
Financial institutions are chasing AI-driven innovation but remain grounded by unclear, disconnected data. This white paper explores how TopBraid EDG helps you move beyond glossaries and governance tools to build a true semantic foundation—enabling trusted data, reusable assets, and explainable AI.
Harness the power of knowledge graphs to manage the metadata driving your AI architecture.​ Why AI Agents Need a Semantic Foundation Most AI agents today
By Steve Hedden The rise of generative AI, specifically large language models (LLM) like ChatGPT, have encouraged almost every enterprise to try to unlock or
In the evolving landscape of life sciences, managing and integrating vast amounts of complex data is more challenging than ever. Organizations are increasingly focused on
#AIReady? You don’t have to read Microsoft’s 10Q (though you should) to know that 2024 will be the year of the Enterprise AI Pilot. And
Traditional keyword-based search engines fall short in delivering relevant results. Semantic search with knowledge graphs is the answer.
Learn how government agencies can establish a Zero-Trust model while complying with open data requirements in this white paper.
By connecting all kinds of data, semantic data management systems empower users to unlock the true meaning behind their business’s data.
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