Enterprise data management (EDM) is the framework organizations use to manage data across systems, teams and workflows. It ...

On Friday, 20 June, the Indian stock market opened with a sharp gap-down, driven by global nervousness and initial ...

Data storytelling is not just a subset of reporting or a more polished presentation, but a method that involves narrative ...

Nippon Telegraph and Telephone Corp. said it has secured enough bids to buy NTT Data Group Corp., with the deal worth ¥2.37 ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Security researchers have discovered what they describe as “one of the largest data breaches in history,” comprising a ...

That report, dubbed The OpenAI Files, is out today. It’s a collaboration between the Midas Project and the Tech Oversight ...

Metro Atlanta has been the country’s hottest data center market since 2023, playing host to a digital gold rush by tech ...

This quarter’s column is co-authored with Anthony Mazzarella, a fellow practitioner-academic doing research into what makes ...

Mastering the Data Science Hierarchy of Needs,” to learn: An overview of the data science hierarchy of needs Prerequisites for AI success and key players The pivotal role of data integration and how ...

You have to merge the data, and you have to communicate.” As 3D-IC becomes more widely adopted and third-party chiplets become a reality, new models and abstractions will become vital. “Hierarchical ...

Hierarchical models, also known as hierarchical statistical models, multilevel models or random-effects models, are tools for analysing data with a nested or grouped structure. In machine ...