Count data modelling occupies a central role in statistical applications across diverse disciplines including epidemiology, econometrics and engineering. Traditionally, the Poisson distribution has ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

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 ...

In the fast-paced world of data-driven technologies, MongoDB Inc. has emerged as a powerful and flexible database platform. As organizations seek to unlock the full potential of MongoDB, data modeling ...

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 ...

Just as machine learning, artificial intelligence, data modeling and analytics platforms have transformed manufacturing, drug discovery, health care and operations in a host of other industries, these ...

If you're wondering whether data modeling is still relevant in today's fast-paced, data-driven world, this white paper is for you. You'll discover how data modeling can help you overcome challenges ...

Silent schema drift is a common source of failure. When fields change meaning without traceability, explanations become ...