Hedera's Mance Harmon outlined hashgraph technology's role in digital commerce at Davos 2026, highlighting tokenization and ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

AI is changing the way we think about databases. You can’t have reliable AI agents without reliable data infrastructure.

The database is no longer just where data lives, but where context gets assembled – and in AI, context is everything.

(L) Senior co-corresponding author M. Madan Babu, PhD, FRS, St. Jude Senior Vice President of Data Science, Chief Data Scientist, Center of Excellence for Data-Driven Discovery director and Department ...

The growing need to have a high level of agility, predictive analytics, and actionable insights in real-time has led to a continued increase in the demand for graph database solutions. Based on the ...

Abstract: Aiming to reduce the learning cost of database operations, Text-to-SQL methods provide a strategy of automatically generating structured query language (SQL), which is an active research ...

The role of the DBA is complex, requiring expertise in designing, implementing, managing, and tuning database systems. DBAs are also tasked with supporting developers, so they need to understand how ...

The real-time performance monitoring system generates a constantly changing graph with live metrics as Neo4j relationships (QUERIES_PER_SEC, AVG_LATENCY_MS, etc.). Currently, there's no way to capture ...

The real-time performance monitoring system generates a constantly changing graph with live metrics as Neo4j relationships (QUERIES_PER_SEC, AVG_LATENCY_MS, etc.). Currently, there's no way to capture ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. John "Hannibal" Smith (George Peppard) loved it when a plan ...