eccenca is Mentioned by BARC as a Sample Vendor for Knowledge Graph Technologies
Knowledge graphs are increasingly becoming the focus as a foundation for AI-ready data management and trusted enterprise AI solutions. BARC highlights this trend in a pragmatic and accessible manner, demonstrating that semantic knowledge graphs are not just an abstract vision of the future, but a vital component of contemporary IT strategies. The article illustrates how semantic technologies can convert fragmented data into networked, machine-readable information. This creates a trustworthy, context-rich database, a fundamental prerequisite for the successful implementation of enterprise AI.
We at eccenca are delighted to be mentioned as a sample vendor of knowledge graph platforms by BARC. It is an honour for us to be listed in this important and growing field – we are grateful for this recognition.
There are two aspects of the article that we particularly want to point out:
a) Yes – traditional data management is and will continue to be a bottleneck. Changing corporate data and knowledge management is not just a technical decision but a shift in mindset. Something technical leaders need to start addressing now if they are to avoid their companies being left behind.
b) Getting started with semantic data management doesn’t have to be complicated. There is no need to create a comprehensive ontology or taxonomy at the initial stage. Just start with a basic controlled vocabulary. Even a modest set of defined semantic terms can have a significant impact when used with the eccenca Corporate Memory knowledge graph platform. It provides a pragmatic way to start managing semantic knowledge – low-code, non-invasive, and based on standards.
We’re proud to contribute to the broader ecosystem – and to champion solutions that bring clarity and context to AI initiatives.
We recommend the article to anyone looking for a concise, well-reasoned introduction to the topic:
