Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

If your team struggles to view how information is consumed from a digital asset management (DAM) system, consider the option of a graph database. Graph databases are among most promising new analytic ...

Graph databases such as Neo4j, TigerGraph, Amazon Neptune, the graph portion of Azure Cosmos DB, and AnzoGraph, the subject of this review, offer a natural representation of data that is primarily ...

Master Data Management is a practice adopted when a company really gets serious about making use of its data. Based on recent trends and some emerging analyst research, it seems that when companies ...

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

Victor Lee is director of product management at TigerGraph. Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both ...

If you're not a graph afficionado, the name Marko A. Rodriguez probably does not mean much to you. Rodriguez however has been working on the intersection of research, engineering and entrepreneurship ...

To make AI possible, you need to create connections between vast quantities of data. That’s where tech like graph databases come into play. Graph databases handle fast-changing, interconnected data ...

Recently, I had an enlightening conversation with Gemini Data about their approach to creating what I’m calling “semantic connectors.” These connectors will help immensely in making graph ETL work ...