kiroi.org

AIROI - Artificial Intelligence Return on Invest
The AI strategy for decision-makers and managers

Business excellence for decision-makers & managers by and with Sanjay Sauldie

AIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

12 September 2025

Knowledge graph embeddings (Glossary)

4.6
(1111)

Knowledge graph embeddings are part of the world of artificial intelligence and are also becoming increasingly important in the field of big data and smart data. They help to link large amounts of information in such a way that computers can better understand and utilise it.

Imagine a knowledge graph as a huge network in which knowledge is connected as nodes - for example, people, places and things. Knowledge graph embeddings convert these nodes and their relationships into mathematical values so that algorithms can work with them efficiently. This makes it possible to recognise hidden connections in data and provide better recommendations or search results.

A simple example: an online shop would like to suggest specific products to customers. With knowledge graph embeddings, the system can recognise that a customer who likes to buy "outdoor jackets" might also be interested in "hiking boots" because the two terms are closely linked in the knowledge network. This makes suggestions more personalised and appropriate.

For companies, the use of knowledge graph embeddings means that they can gain even more useful insights from their data and organise their processes more intelligently.

How useful was this post?

Click on a star to rate it!

Average rating 4.6 / 5. Vote count: 1111

No votes so far! Be the first to rate this post.

Share on the web now:

Other content worth reading:

Discover how knowledge graph embeddings make your data smarter! Find out more now and secure benefits.

written by:

Keywords:

#3DPrint 1TP5InnovationThroughMindfulness #Cost savings #Supply chain #Value added

Follow me on my channels:

Questions on the topic? Contact us now without obligation

Contact us
=
Please enter the result as a number.

More articles worth reading

Leave a comment