As always with Modern Data Architectures, relational databases are inherently limited by their rigidity and lack of truly descriptive metadata. When you start thinking of organizing your data use standards like those defined by the W3C, you’ll want to direct your attention to data integration models like those built by Cambridge Semantics.
Read More
Explore how Anzo simplifies the process of standing up a Knowledge Graph in mere minutes, turning the once-daunting task into a seamless experience.
Our recent generative AI demo was followed by a Q&A session which hosted many great questions. In this blog post we answer all of your generative AI and knowledge graph questions.
Anzo partners with technologies pushing advancements in the consumption of natural language by forming natural bridges with knowledge graph.
In this blog post, we will delve into the inner workings of the Knowledge Guru and explore how it empowers users to effortlessly explore and uncover insights from vast amounts of enterprise data.
Generative AI technology and Anzo knowledge graph FAQ. Learn what sets our version of LLM, Knowledge Guru, apart from the rest, hint: enterprise compliance. Find more info on how Knowledge Guru works and what it is.
Read how Cambridge Semantics is leading the connected enterprise data field, helping to build the connected ecosystems of the future.
Knowledge graphs have developed into a foundational component of the modern Industry 4.0 technology stack. Read this blog post for details outlining key factors driving the growth of knowledge graph technologies.
Hint: if you’re a fan of making knowledge graph technology as easy and accessible as possible, then you should be excited.
Are the Data Fabric and Data Mesh are complementary to each other? Does the Data Mesh include the principles and governance that orchestrate data sharing activities implemented on the Data Fabric? This blog post explores the differences and similarities between data fabric and data mesh strategies.
This article focuses on knowledge graph technology as a critical technical enabler to operationalizing AI. We provide some examples to help illustrate AI and knowledge graph technology working together. We provide background for knowledge graph technology, and a way forward for large scale knowledge graph exploitation for operationalizing AI.
Our recent highly engaged webinar came with a lot of great graph database questions, so we kept answering. Here are candid answers to your Knowledge Graph questions.
