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 ...

Due to the technological conditions and application demands of that time, although artificial intelligence appeared during the Third Industrial Revolution, it did not have a significant impact on ...

3 Steps for Better Data Modeling With IT, Data Scientists and Business Analysts Your email has been sent Data analysts can help build accessible and effective data models by defining business ...

Recently, the National Intellectual Property Administration disclosed that Hainan COSCO Shipping Technology Co., Ltd. has applied for a patent titled "Method and System for Scaling Large Models in ...

Learn essential Excel techniques to build robust financial models, forecast accurately, and impress stakeholders with your ...

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

Measuring AI progress has usually meant testing scientific knowledge or logical reasoning — but while the major benchmarks still focus on left-brain logic skills, there’s been a quiet push within AI ...

There's a curious contradiction at the heart of today's most capable AI models that purport to "reason": They can solve routine math problems with accuracy, yet when faced with formulating deeper ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...