Using healthcare data to identify vulnerabilities to patient safety helps inform organizational decision-making, leading to changes that create better patient outcomes. However, data is often siloed, ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

Jan 23 (Reuters) - The European Union on Monday launched a project to collect and aggregate cancer imaging data in an effort to speed up innovation and early cancer diagnosis using artificial ...

Because of the exponential distribution assumption, many reliability databases recorded data in an aggregate way. Instead of individual failure times, each aggregate data point is a summation of a ...

Many colleges are turning to artificial intelligence to aggregate data and generate information to inform decisions, but without careful prompting on a user’s end — or governance on the institution’s ...

Excel formulas are the foundation of effective data management and analysis. Selecting the right formula can significantly enhance your productivity, minimize errors, and improve the accuracy of your ...

As the Army looks ahead to 2030, it is building a more data-centric, data-cultured, and data-dependent Army. Data superiority requires skilled data leaders and effective data systems focusing on ...

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 ...