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 ...

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 ...

Part III introduces the Geometry Scattering Trajectory Homology (GSTH) approach and discuss some applications for clinical research. Dhananjay Bhaskar, Ph.D, Yale School of Medicine Brian Zaboski, ...

If you want to understand relationships, graph analytics is the way to go. While graph databases and graph theory aren't new, graph analytics is finally ready for prime time. "We needed a truly ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Jul 03, 2025, 10:43am EDT Business 3d tablet virtual growth ...

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 ...

In his role as principal data scientist at consulting firm Booz Allen Hamilton Inc., Kirk Borne sees the world in terms of data connections. "Life is about who is connected to whom and what is ...

Random graphs provide a mathematical framework for modelling networks whose links are established according to probabilistic rules. Classical ensembles such as the Erdős–Rényi model and the ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...