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 ...

Artificial intelligence continues to astonish the world with its expanding, awe-inspiring capabilities. But, beneath t ...

The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and ...

This article proposes a new method for analysing panel data based on modelling heterogeneity of individuals or entities as a regime-switching process. There are several advantages to this approach.

The intersection of the COVID-19 pandemic and analytics has been in focus almost since the pandemic began. Organizations like Johns Hopkins Center for Systems Science and Engineering (CSSE), the New ...

1. In large-scale field surveys, a binary recording of each species' detection or nondetection has been increasingly adopted for its simplicity and low cost. Because of the importance of abundance in ...

Urban digital twins pull together tremendous amounts of data to realistically model cities, but they’ve been missing a ...

In 2016, when Microsoft announced its makeover of its CRM and ERP strategy in the form of Dynamics 365, officials started talking up the Common Data Model (CDM), which was the heart of those services.