From planning to trailblazing, discover the world of data management in this guide. Data management is a multidisciplinary process that keeps data organized in a practical, usable manner. At its ...

The Data and analytics maturity model is a tool to chart a path toward improving overall organizational capability.

What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.

You would think that with the towering importance of data in today's modern organization that data modeling would be viewed as extremely important by management and IT professionals, so it is somewhat ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are ...

Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

Structured maturity models can address program, reliability and safety improvements while ensuring regulatory compliance.

Five key questions you should ask before embarking on the journey to create your own in-house large language model.

A data model can clarify data patterns and potential uses for data that would remain hidden without the data blueprint the model provides. Discovery of such patterns can change the way your business ...

NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant steel materials by performing machine learning while preserving the ...