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

Enter knowledge-graph-powered data intelligence platforms with metadata management capabilities. Google popularized the term "knowledge graph" in this 2012 blog post.

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

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 ...

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 ...

See how easy it is to create interactive web graphs from ggplot2 visualizations with the ggiraph R package. You can even link graphs so that clicking one dataviz affects the display of another.

Offering a versatile approach to data collection and analysis, knowledge graphs have a broad range of applications, from helping ensure regulatory compliance to enhancing customer experiences. But ...

If you want to display sar data in graph form, you will probably do one of two things: 1) download the data into an Excel or other brand of spreadsheet and graph it from there, or 2) use gnuplot ...

A: Well, graphs are particularly good at allowing the user to think about, discover and learn about connections between data items. That's the whole point; these connections are first-class citizens.

AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C workshop on web standardization for graph data, and what transcribed is bound to boost adoption of the ...

Available starting today, Neo4j Aura Graph Analytics is said to work with any kind of data source, including Oracle, Microsoft SQL, Databricks, Google BigQuery, Snowflake and Microsoft OneLake.

The chart implicitly defined the scope of relevance—and nobody seems to have asked for additional data points, the ones they couldn’t see. This is why the managers made the tragic decision to ...