Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

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 ...

BOSTON--(BUSINESS WIRE)--Beaconcure, a leader in AI-enabled clinical data validation and automation, has launched its new Verify capability to automate validation of statistical analysis outputs ...

This paper presents a semi-structural macroeconomic model aimed at facilitating policy analysis and forecasting, primarily in countries with imperfect capital mobility and hybrid monetary policy ...

Overview: Data mining tools in 2026 focus on usability, scale, and real business impact.Visual and cloud-based platforms are ...

In various industries and applications, it’s crucial to monitor the current and frequency of devices in real-time. These ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

The paper explores the nexus between the financial and business cycles in a semi-structural New Keynesian model with a financial accelerator, an active banking sector, and an endogenous ...

The HOLiFOOD consortium is reimagining food safety risk assessment for the benefit of all stakeholders in the food chain ...