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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What? For some time, the manufacturing industry has been benefiting significantly from knowledge graph technology. standards modeled in a knowledge graph! But the benefits of knowledge graphs don’t stop there.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

He further explained what data fabric and data mesh were, how these two related to knowledge graphs, and how they provided solutions that helped enterprises fight infobesity. Lance Paine, founder of Semantic Partners, took the ball from Sumit to talk about “why you’re not ready for knowledge graphs”.

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Three’s Company Too: Metadata, Data and Text Analysis

Ontotext

Separating the definitions of the metadata from the data had the benefit of simplifying validation and introducing flexibility. With text analysis producing valuable (and semantic) metadata, companies derive a number of benefits. Faster and easier knowledge discovery has obvious cost benefits and reduces duplication of effort.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

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Enhancing Knowledge Discovery: Implementing Retrieval Augmented Generation with Ontotext Technologies

Ontotext

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. A great advantage of this approach is that we benefit from the visibility of what snippets were included in the prompt, so we are aware of the source of the generated answer.

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Accelerating model velocity through Snowflake Java UDF integration

Domino Data Lab

This brings extra benefits like security, versioning, and portability, but more importantly, archives allow you to package additional files alongside your classes. These can be pre-trained models, vector space models, additional Java classes (e.g. custom machine learning algorithms), etc.