Depending on the industry where AI is deployed, model data drift can have alarming consequences ranging from financial to ...

AI systems fail because of a context gap—when decisions rely on incomplete, inconsistent and outdated data across systems.

In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

Anthropic is testing a new AI model that has exhibited an unusual behavior during safety evaluations: it told testers it ...

With the growing interest in adopting best practices across IT departments, particularly according to standards such as the Information Technology Infrastructure Library (ITIL), many organizations are ...

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 ...