This article is based on a collaboration with the Guardian’s data team, including data journalist Carmen Aguilar García and data projects editor Pamela Duncan. Developed countries have poured billions ...

What is Graph Technology and What Can it do for Financial Institutions? Graph technology has been a cornerstone of mathematics for centuries, and its application in financial institutions and fintechs ...

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, multi-hop evidence. Here’s why BFSI leaders should embrace graph-native AI ...

Graph technology has become a requirement for the modern enterprise. Companies in virtually every industry, from healthcare to energy to financial services, are applying the power of graph analytics ...

Not All Methodologies for Financial Scenario Analy... Not All Methodologies for Financial Scenario Analysis Are the Same Types of Scenario Analysis Forecasting is a no-win situation. If you get it ...

Technical analysis is the process of examining a stock or security’s price movements, trading volume, and trends to determine how or when to trade it and predict its price movements. There are plenty ...

A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs. Nvidia has long ago stopped ...

Triangle counting stands as a fundamental task in graph theory and network science, offering critical insights into the structural properties of complex systems. By enumerating all sets of three ...

A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, ...