When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

Universal Closed-Source Models: Such as GPT-5 (1.5 trillion parameters), suitable for complex enterprise-level analysis, supporting 400K context. While the cost for a million tokens is $75, it ...

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 ...

Best machine learning model for sparse data To help combat these issues that arise with sparse data machine learning, there are a few things to do. First, because of the noise in the model, it’s ...

Data drives smart decision-making in modern industries, but the old saying still holds true: “Garbage in, garbage out.” The quality and completeness of the data pulled for analysis play a huge role in ...

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.

Thanks to generative AI, we’re getting close to the promise of truly “democratizing” data. This means anyone can make decisions that are data-driven, not just highly skilled data scientists. Here ‘s ...