Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

Before Numeric, I was the first finance hire at a venture-backed startup. My first project was getting the company through a first audit. I spent months on it. Drafting policies, creating schedules, ...

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, ...

Decagon announced a partnership with Databricks on September 30, 2026 that pairs zero-copy data sharing between the two ...

Data’s role as a strategic asset has become increasingly prominent in recent years, chiseled into sharp relief by the numerous organizations using it successfully to respond to rapidly changing market ...

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 ...

Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

The potential benefits of cloud computing are inspiring senior IT and business leaders in many organizations to reconsider enterprise data strategy and contemplate how migrating data and applications ...