Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

The Enterprise Knowledge Graph concept strikes at the core of what every data-driven organization is trying to do: translate data assets into a competitive advantage unique to those assets and the ...

Enterprise knowledge graphs, however, ... for example, can connect the voluminous types of data relevant to their industry by creating an exhaustive list of events such as diagnostics, ...

Do We Really Need an Enterprise Knowledge Graph in Business? In the past 20 years, ... And we also know from the examples cited above that their graphs are based on user interests.

For example, some of the richest ... Enterprise knowledge graphs specialize in the contextual understanding of data (in relation to events and otherwise), particularly when fortified with dynamic ...

Knowledge Graphs are not just in academia, every day new enterprise knowledge graph platforms are becoming operational for an array of financial services use cases. ... Graphs is data migration.

Even though it probably affects our lives every single day, most of us have no idea what a “knowledge graph” is. Asking your favorite voice assistant what the weather will be like tomorrow?

Connecting the Enterprise Through AI, Knowledge Graphs, and Data FabricsThe impact of AI on KM could be massive. Although organizations are no strangers to implementing various AI technologies into ...

Ontotext updates its enterprise knowledge graph platform Ontotext is enhancing its flagship platform with GraphQL interfaces to make it easier for application developers to access knowledge graphs.

For example, a user might input a question like “Which policies have a high-risk rating?” and the LLM can generate a Cypher query to extract the relevant data from the graph. The knowledge ...