A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

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 ...

The XDR Alliance released an open source Common Information Model (CIM). It aims to build the foundation for the next-generation extended detection and response (XDR) and threat detection, ...

Developing the POTOMAC Model: A Novel Prediction Model to Study the Impact of Lymphopenia Kinetics on Survival Outcomes in Head and Neck Cancer Via an Ensemble Tree-Based Machine Learning Approach The ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now One decision many enterprises have to make ...

Modern software development involves selecting and integrating tens or hundreds of complex components, services and infrastructure to deliver systems at the speed of business demands. Each integrated ...

7 October 2004 – RAO UES, the largest energy company in the world, has committed to replacing its central and regional energy management systems with modern state-of-the-art systems. At a meeting held ...

A Computational Approach: The Functional Effects of Thyroid Peroxidase Variants in Thyroid Cancer and Genetic Disorders Electronic health records (EHRs) comprise a rich source of real-world data for ...

Information on Earth's biodiversity is increasingly collected using DNA-, image- and audio-based sampling. At the same time, new statistical analysis methods are being developed to make more out of ...