Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Affan Shoukat is an assistant professor of data science and an adjunct professor in computer science at the University of ...

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 ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...