Cassie Shum, VP of Field Engineering at RelationalAI, joins host Keith Shaw on DEMO to showcase how enterprises can unlock ...

According to Gartner’s Top 10 Data and Analytics Trends for 2021, knowledge graphs are the foundation of modern data and analytics, with capabilities to enhance and improve user collaboration ...

In other words, a knowledge graph is a programmatic way to model a knowledge domain with the help of subject-matter experts, data interlinking, and machine learning algorithms.

First, we’ll define and demystify these terms. Second, I’ll share some key business use cases that cannot be solved with traditional relational data catalogs. Finally, I’ll wrap it up by getting ...

To keep an SLM relevant and accurate, you still need to feed it fresh, contextual data. That’s where graph technology comes ...

Those are bad choices.” At the recent Snowflake Summit, RelationalAI unveiled a product – what it calls an AI co-processor for cloud platforms and language models – that is integrated in Snowflake’s ...

Knowledge graphs: The link between data and meaning While Google popularized the term “knowledge graph” in 2012, the concept of representing knowledge as interconnected information has roots ...

Knowledge graphs are real. They have been for the last 20 years at least. Knowledge graphs, in their original definition and incarnation, have been about knowledge representation and reasoning.

They connect related data across silos with enormous flexibility, linking thousands or millions of related points of data from across the business with unprecedented granularity and flexibility in the ...

How does the journey to a knowledge graph start with unstructured data—such as text, images, and other media? The evolution of web search engines offers an instructive example, showing how ...

LinkedIn, for example, uses a knowledge graph to structure and interconnect data about its members, jobs, titles, and other entities. It uses its knowledge graph to enhance its recommendation ...

Using medical knowledge graphs in smart applications for clinical diagnoses and more Based on a Google algorithm technique, this way of organizing data can have wide-reaching implications for the ...