Knowledge graphs should be a data executive’s secret weapon. It’s time for you to get as smart as Amazon, Facebook, Goldman Sachs, Google and other data-driven leaders. It’s time to end the ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management ...

Without context, data does not mean much. For example, ... Knowledge Graphs. Connecting data silos is a prerequisite for knowledge management, and knowledge graphs excel at this.

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking ...

Data warehousing is good for static BI projects, but knowledge graphs must be able to power insights in real time, otherwise they simply won’t work for applications like real-time recommendations, ...

An industrial knowledge graph provides an additional metadata layer to navigate relationships for both humans and generative AI to make sense of industrial data. An industrial knowledge graph is ...

Within a graph database or knowledge graph, you can easily add information as you get it without messing up your schema or your data model. Adding more information just enhances your model.

But the knowledge graph box doesn’t come without challenges, Google has had many, and Yahoo has their share. A reader sent us an example of how a search for [Erica Schmidt] in Yahoo returns the ...

Back in December 2014, Google announced that it would be shutting down Freebase, a repository of structured data that helps power Google’s Knowledge Graph, and working to migrate all its data to ...