One of the biggest risks to any AI tool is data integrity. Cybersecurity is built on the CIA triad of confidentiality, ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Data modeling comprises the methodologies of creating data ...

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 ...

Redgate Software, the end-to-end Database DevOps solution provider, is launching Redgate Data Modeler, a new SaaS-based data modeling tool that enables teams to collaboratively design, document, and ...

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

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 often ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

The healthcare system is faced with a tsunami of incoming data. In fact, the average hospital produces roughly 50 petabytes of data every year. That’s more than twice the amount of data housed in the ...

Actionable product demand and usage feedback must find its way back to portfolio managers for continuous portfolio optimization to occur. Morningstar provides a framework and measurement for matching ...