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

Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from exper ...

In our case, decades of SQL procedures and business logic that underpin a platform capable of handling over 3 million ...

Data is no longer just an enterprise asset, it’s the foundation of competitive advantage.In an era of machine learning and ...

The humble database offers the key to giving AI context and adaptation, accessing data beyond its training cutoff.

Oracle Corp. (ORCL) is a large multinational technology company that primarily offers cloud computing, database software, and ...

SAP HANA Cloud now offers more context-aware AI solutions on its single, multi-model platform that brings together vector, graph, text, spatial, and relational data natively. Rather than sending data ...

Unlike traditional relational databases, graph databases use nodes and edges to represent data relationships, enabling faster and more intuitive queries across interconnected datasets. This capability ...

Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly detection ...