Network graphs can show how your customers are segmented and the risk of churn for each segment. You can discover that what you thought were three or four main segments are actually 10.

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

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

With proprietary data, AI and graph database technologies available in Discover, the customer now can map its full network, and filter by supplier, product, location, and much more. Within minutes, ...

Organizations can take a systematic approach to generating a knowledge graph by first ingesting a standard ontology (like insurance risk) and using a large language model (LLM) like GPT-3 to ...

With the addition of KYB data, ComplyAdvantage now has a knowledge graph that includes over 400 million companies and related directors covering 200 + countries and territories that has been ...

Instead, the graph in GraphQL refers to the underlying knowledge graph that maps the data source, therefore provides shortcuts to get to the right data without all the chatter of a RESTful call.

The risk graph below shows the profit or loss potential for a simple long call position of ABC Corp with 60 days until the expiration date, a strike price of $50.00, a contract size of 100 (shares ...